Data Architect / Technical Lead Jobs

Technical Architect - Data

We are looking for an experienced Technical Architect (Data) to lead the archite...

Location

India , Bengaluru

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

15+ years in software engineering with 4+ years in data architecture roles
Hands-on experience with distributed systems and data processing frameworks (Spark, Flink, Kafka, Airflow, Dagster)
Strong Python expertise with libraries such as Pandas, PySpark, NumPy, Dask, FastAPI, and SQLAlchemy
Experience with Java/Scala/Python, REST/gRPC APIs, microservices, and event-driven architectures
Proficient with data storage systems (PostgreSQL, MongoDB, Cassandra) and cloud data warehouses (Snowflake, BigQuery, Redshift)
Familiar with Kubernetes, Docker, Terraform, and CI/CD pipelines for data workloads

Job Responsibility

Define and evolve data platform architecture for real-time and batch data processing
Design scalable, multi-tenant, and cloud-native systems supporting data pipelines and orchestration
Guide technology choices across storage, compute, APIs, and orchestration frameworks
Ensure production-grade performance, observability, and resilience
Partner with product and engineering teams to translate business requirements into scalable solutions
Lead architecture reviews, enforce coding and data quality standards, and mentor engineering teams

What we offer

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Cloud Technical Architect / Data DevOps Engineer

The role involves designing, implementing, and optimizing scalable Big Data and ...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

An organised and methodical approach
Excellent time keeping and task prioritisation skills
An ability to provide clear and concise updates
An ability to convey technical concepts to all levels of audience
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation

Job Responsibility

Detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the project or service
Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation
Cloud Engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code
Provide technical challenge and assurance throughout development and delivery of work
Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership
Work independently and/or within a team using a DevOps way of working

What we offer

Extensive social benefits
Flexible working hours
Competitive salary
Shared values
Equal opportunities
Work-life balance
Evolving career opportunities
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Data Architect

We are seeking a highly skilled and experienced Data Architect to join our team....

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data-centric roles
Proven experience in a technical leadership position such as Solution Architect, Technical Lead, or Principal Engineer
Expert-level knowledge of Snowflake and Azure Data Factory (ADF)
Deep experience with SQL Server
Familiarity with Informatica and IBM DB2
Hands-on experience with Control-M
Experience with SAP Business Objects and Power BI
Expert-level SQL
Proficiency in Python
Experience with XML and JSON data formats

Job Responsibility

Design and document end-to-end solutions for new data integrations, major enhancements, and complex data products
Contribute to the technical roadmap for the Enterprise Data Warehouse (EDW)
Define and enforce data engineering and development standards across the program
Serve as the final technical approver for all significant code changes, pull requests, and architectural modifications
Act as the highest point of technical escalation for critical P1/P2 incidents and complex problems
Lead technical investigation during major outages
Drive technical resolution for systemic issues
Mentor Data Engineers and Data Visualization Engineers
Champion creation and maintenance of technical documentation
Work closely with client architects, source system owners, and other vendor teams

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Referral bonuses up to PLN6,000
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring
Dedicated team-building budget
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Data Architect

We are seeking a highly skilled and experienced Data Architect to join our team....

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data-centric roles
Proven experience in a technical leadership position such as Solution Architect, Technical Lead, or Principal Engineer
Expert-level knowledge of Snowflake and Azure Data Factory (ADF)
Deep experience with SQL Server
Familiarity with Informatica and IBM DB2
Hands-on experience with Control-M
Experience with SAP Business Objects and Power BI
Expert-level SQL
Proficiency in Python
Experience with XML and JSON data formats

Job Responsibility

Design and document end-to-end solutions for new data integrations, major enhancements, and complex data products
Contribute to the technical roadmap for the Enterprise Data Warehouse (EDW)
Define and enforce data engineering and development standards across the program
Serve as the final technical approver for all significant code changes, pull requests, and architectural modifications
Act as the highest point of technical escalation for critical P1/P2 incidents and complex problems
Lead technical investigation during major outages
Drive technical resolution for systemic issues
Mentor Data Engineers and Data Visualization Engineers
Champion creation and maintenance of technical documentation
Work closely with client architects and source system owners

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Referral bonuses up to PLN6,000
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring
Dedicated team-building budget
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Data Architect

As a Data and Technical Architect for Salesforce Data Cloud at Horizontal Digita...

Location

India , Jaipur

Salary:

Not provided

Horizontal Digital

Expiration Date

Until further notice

Requirements

7+ years of client-facing consulting/professional services experience delivering enterprise-grade data solutions
3+ years of experience implementing Salesforce Data Cloud or equivalent Customer Data Platforms (e.g., Adobe AEP, Segment, Tealium, Arm Treasure Data, BlueShift)
Strong background in data architecture, data modeling, ETL/ELT pipelines, data integration, and API-driven solutions
Certifications in Salesforce Data Cloud and a solid understanding of the Salesforce ecosystem (Sales Cloud, Service Cloud, Marketing Cloud)
Experience implementing data governance, data security, and regulatory compliance (e.g., GDPR, CCPA) frameworks
Expertise in identity resolution, subscriber management, and harmonizing data across systems to enable a single customer view
Demonstrated success in facilitating technical workshops, delivering solution documentation, and leading cross-functional technical teams
Strong analytical and problem-solving skills with expertise in agile delivery methodologies and complex solution lifecycles
Excellent written and verbal communication skills for engaging with technical and non-technical stakeholders alike
Industry experience in one or more of the following: Financial Services, Health and Life Sciences, Manufacturing, Retail, or Hospitality

Job Responsibility

Facilitate and lead technical discovery workshops to document detailed data architecture, integration requirements, and data ingestion strategies
Synthesize complex requirements to create clear and comprehensive technical solution designs and collaborate with technical teams to document and implement them
Assess current-state data ecosystems, contact/subscriber management, and identity resolution processes, while defining the future-state architecture and performing gap analysis across data, platform and technology
Lead the refinement, design, and configuration of complex data models, ensuring alignment with business processes, scalability, and Salesforce Data Cloud best practices
Collaborate with cross-functional data teams to design and implement data integration and migration strategies leveraging ETL tools, APIs, and middleware solutions
Guide and oversee the execution of user acceptance testing (UAT), ensuring the delivery of solutions that meet client expectations and quality standards
Serve as the primary technical point of contact for client stakeholders, providing enablement training on Salesforce Data Cloud and driving adoption across their teams
Advocate for data governance best practices, including data privacy, quality assurance, and regulatory compliance frameworks
Collaborate with Sales, Go-to-Market, and professional services teams in pre-sales activities, including scoping, solution estimation, and proposal development
Contribute to internal growth by developing thought leadership, building best practices, delivering training, and mentoring teams to scale Data Cloud expertise across the organization

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

Enterprise Data Architect

The Enterprise Data Architect (EDA) is responsible for defining and advancing th...

Location

United States , San Mateo

Salary:

200000.00 - 275000.00 USD / Year

Verkada

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
10+ years of experience in data architecture, data engineering, or enterprise systems integration
Proven track record in designing enterprise-level data architectures in complex, multi-system environments
Expertise in data modeling, MDM, Meta Data, and data governance frameworks
Experience with cloud-based data platforms (AWS, Azure, GCP) and modern data stacks (e.g., Redshift, BigQuery, Snowflake)
Experience with integration platforms (ETL/ELT, APIs, event streaming, middleware)
Knowledge of data security (tokenization, encryption, access controls) and compliance frameworks
Strong ability to influence cross-functional stakeholders and drive consensus across departments
Excellent communication skills, capable of presenting complex data concepts to both technical and non-technical audiences
Strategic thinker with the ability to balance long-term architecture vision with short-term delivery needs

Job Responsibility

Define and own the enterprise data strategy in alignment with corporate goals
Design and maintain comprehensive data architecture spanning ERP, HRIS, CRM, ATS, Finance, and other core business systems
Ensure the architecture supports scalability, performance, and resilience as the company grows
Lead initiatives to break down data silos and establish trusted, unified sources of truth across the organization
Champion a company-wide data governance framework
Facilitate Regular Meetings
Drive Cross-Functional Collaboration
Identify & Track Data Gaps
Coordinate Remediation Efforts
Implement Monitoring & Alerts

Fulltime

Data Architect / Technical Lead

Pronix

Location:
USA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Architect / Technical Lead

Technical Architect - Data

Cloud Technical Architect / Data DevOps Engineer

Data Architect

Data Architect

Data Architect

Gcp Data Architect

Senior Data Engineering Architect

Enterprise Data Architect

Data Architect / Technical Lead

Pronix

Location:USA

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Architect / Technical Lead

Technical Architect - Data

Cloud Technical Architect / Data DevOps Engineer

Data Architect

Data Architect

Data Architect

Gcp Data Architect

Senior Data Engineering Architect

Enterprise Data Architect

Location:
USA

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 11, 2025