Data Governance Application Architect Jobs

New

Data Intelligence Data Architect

We are seeking a visionary Data Architect to lead the design, governance, and op...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

8+ years in data architecture, data engineering, or enterprise data management
Strong experience in data integration architecture across complex systems
Expertise in data modeling (conceptual, logical, physical) and database technologies
Strong knowledge of cloud data platforms (AWS, Azure, GCP) and integration tools
Familiarity with data governance frameworks and regulatory compliance
Proficiency in SQL and Python for building data pipelines, performing data transformations, and implementing automation tasks

Job Responsibility

Develop and maintain the enterprise data architecture blueprint aligned with business strategy and AI product roadmaps
Define enterprise-wide data models, taxonomies, and standards for consistent data usage
Collaborate with business stakeholders to identify data-driven revenue opportunities including APIs, data products, and new service offerings
Design and oversee data integration solutions (ETL/ELT, APIs, streaming, event-driven architecture) across applications, platforms, and business units
Enable real-time and batch data flows to support operational and analytical systems
Ensure data accessibility across business units and external partners while adhering to data sovereignty and compliance laws
Implement data governance policies covering metadata management, data lineage, access control, and retention
Define data quality metrics and oversee data cleansing and validation initiatives
Define data stewardship roles and accountability structures
Select, implement, and manage enterprise data platforms (data lakes, API gateways, event streaming platforms)

Fulltime

Data Architect

The Data Architect will be responsible for designing, developing, and implementi...

Location

United States , Andover, Massachusetts

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Bachelor's, Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
Strong understanding of data architecture, cloud infrastructure, and data management technologies
Proven experience driving innovations in data solutions and the productization of advanced development activities
Must have a track record of architecting, building, and deploying mission-critical, highly distributed, data-centric applications and solutions
Experience with at least one major IaaS and/or PaaS technology (OpenStack, AWS, Azure, VMware, etc.), including defining and scripting full topologies
Must be able to work in a global, complex, and diverse environment

Job Responsibility

Designing, developing, and implementing robust data solutions to support business objectives
Collaborating with cloud and data architects to design and set standards for the HPE GreenLake Hybrid Cloud platform and data solution portfolio
Driving evaluation of data storage and integration solutions and conducting research on platform behavior under different workloads
Designing and implementing data pipelines
Optimizing data storage solutions
Establishing best practices for data integration and analysis
Leading advanced development teams building proof-of-concept implementations for data platforms and solutions
Acting as a cross-functional product and technical expert for hybrid cloud and data technologies
Providing consultation, design input, and feedback for product development and design reviews across multiple organizations
Guiding and mentoring less-experienced staff members

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to career goals
Unconditionally inclusive work culture that celebrates individual uniqueness
Flexibility to manage work and personal needs
Opportunities for professional growth and development

Fulltime

New

Gcp Data Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of experience as Data Architect, including min. 4 years of experience working with GCP cloud-based infrastructure & systems
Deep knowledge of Google Cloud Platform and cloud computing services
Strong experience in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as columnar databases, relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks
Knowledge of modern data transformation tools (such as DBT, Dataform)
Knowledge of at least one orchestration and scheduling tool
Programming skills (SQL, Python, other scripting)
Tools knowledge: Git, Jira, Confluence, etc.

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices, and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications
Stay updated with emerging trends and technologies in data engineering, recommending, and implementing innovative solutions as appropriate

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
“Office as an option” model. You can choose to work remotely or in the office
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly

New

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

New

Data Engineering Architect

Data engineering involves the development of solutions for the collection, trans...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

10+ years’ experience in the Data & Analytics area
4+ years’ experience into Data Engineering Architecture
Proficiency in Python, PySpark, SQL
Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables
Support to team throughout the implementation process, answering questions and addressing issues as they arise

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Data Architect

We are seeking a talented and experienced Data Architect/ Modeller to join our t...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME
Act as single point of contact for all kinds of data management related queries to make data decisions

Job Responsibility

Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management

Fulltime

Data Architect

We are seeking a talented and experienced Data Architect to join our team. The D...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design
experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME

Job Responsibility

Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management
Conduct continuous audits of data management system performance and refine where necessary

Fulltime

New

Data Architect

We are seeking a highly skilled Data Architect to join our Enterprise Transforma...

Location

Bulgaria , Sofia

Salary:

Not provided

HotSchedules Corporate

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
5+ years in data architecture, database administration, or data engineering, with a focus on enterprise and business systems
Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
Experience with cloud platforms (e.g., AWS, Azure, GCP – BigQuery, Redshift, Snowflake)
Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, dbt, Informatica, Talend, Azure Data Factory, Synapse)
Strong knowledge of API’s and Automation Tools (e.g. Make, Zapier, MS Power Automate)
Familiarity with ERP, CRM, and HRIS integrations
Programming skills in Python, Java, or Scala
Deep understanding of data governance, master data management, and security/compliance (especially GDPR)
Excellent analytical, problem-solving, and communication skills

Job Responsibility

Design, develop, and maintain the organization’s overall data architecture to support enterprise‑wide business applications, internal reporting, and analytics
Create and manage conceptual, logical, and physical data models for organizational data domains (HR, Finance, Sales, Operations, etc.)
Define and implement data governance policies, standards, and best practices across the enterprise
Oversee ETL/ELT processes and pipelines for integrating data from diverse business systems (ERP, CRM, HRIS, etc.)
Collaborate with internal stakeholders (business teams, IT, data engineers) to align data initiatives with organizational objectives
Optimize performance, cost, and scalability of data warehouses and internal reporting systems
Evaluate and recommend tools and platforms to enhance internal data and business application efficiency
Ensure compliance with GDPR and other relevant data security/privacy regulations
Responsible for the successful design and execution of Data related programs and projects

What we offer

25+ days off, as well as birthday day off and 4 charity days off per year
Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
Team-centric atmosphere
Encouraging healthy lifestyle and work-life balance including supplemental health insurance
New parents bonus scheme

Fulltime

Data Governance Application Architect

Miracle Software Systems

Location:
India, Miracle Heights

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 10, 2025

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