Data & AI Architect Jobs

New

Data Architect - Enterprise Data & AI Solutions

We are looking for a visionary Data Architect who can translate enterprise data ...

Location

India , Chennai; Madurai; Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong background in RDBMS design, data modeling, and schema optimization
Advanced SQL skills, including performance tuning and analytics functions
Proven expertise in data warehouses, data lakes, and lakehouse architectures
Proficiency in ETL/ELT tools (Informatica, Talend, dbt, Glue)
Hands-on with cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake)
Familiarity with GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI)
Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark)
Strong communication skills with the ability to present data insights to executives
8+ years in data architecture, enterprise data strategy, or modernization programs
Hands-on with AI-driven analytics and GenAI adoption

Job Responsibility

Design scalable data models, warehouses, lakes, and lakehouse solutions
Build data pipelines to support advanced analytics, reporting, and predictive insights
Integrate GenAI frameworks to enhance data generation, automation, and summarization
Define and enforce enterprise-wide data governance, standards, and security practices
Drive data modernization initiatives, including cloud migrations
Collaborate with stakeholders, engineers, and AI/ML teams to align solutions with business goals
Enable real-time and batch insights through dashboards, AI-driven recommendations, and predictive reporting
Mentor teams on best practices in data and AI adoption

What we offer

Opportunity to design next-generation enterprise data & AI architectures
Exposure to cutting-edge GenAI platforms to accelerate innovation
Collaborate with experts across cloud, data engineering, and AI practices
Access to learning, certifications, and leadership mentoring
Competitive pay with opportunities for career growth and leadership visibility

Fulltime

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

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

AI Architect

As an AI Architect, you'll delve into the core of AI, applying your skills acros...

Location

Belgium , Brussels

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 7+ years of experience in AI and Data Science
Multiple examples where you coordinated a team in building end-to-end AI solutions
Experienced in developing (deep learning) models
Experience in securely and rapidly developing, training, evaluating, debugging, and deploying AI models in both practical and theoretical scenarios
Experience with modern computer vision tools for image classification, object detection, tracking, and segmentation
Expertise in working with LLMs (GPT, BERT, etc.) and are familiar with NLP and LLM evaluation metrics
Hands-on experience in the development of AI solutions in cloud environments like Microsoft AWS or azure
You approach problem-solving with an open-minded and constructive attitude
You have the drive to stay up to date with the fast-changing AI landscape
You're an excellent mentor who not only designs the architecture but also ensures our consultants implement it successfully

Job Responsibility

Translate business challenges into AI solutions, aligning them with market needs and inspiring both employees and companies
Lead project teams to implement these solutions, while considering legal, ethical, and moral boundaries
Collaborate with data scientists and AI experts to identify and pilot AI use cases, ensuring they reach production readiness
Align with business teams to convert leaders' visions into practical, feasible technical solutions
Gather input from stakeholders and develop processes and products that meet current and future needs
Define the AI architecture and choose technologies from open-source or commercial options
Select deployment models (cloud, on-premises, or hybrid) for seamless integration with existing data and analytics tools
Improve AI tools and practices, focusing on continuous improvement
Implement feedback mechanisms to assess and recalibrate models as needed
Serve as an AI expert, generating and sharing innovative ideas and insights with colleagues and customers through training and knowledge-sharing sessions

What we offer

A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy to support your career development
The opportunity to connect with fellow Sopra Steria colleagues at various team events

Fulltime

New

Enterprise Data Architect

Microsoft Enterprise Data Architect - Atlanta (Hybrid) I'm partnering with a for...

Location

United States , Atlanta

Salary:

125000.00 - 150000.00 USD / Year

Boston Hale

Expiration Date

Until further notice

Requirements

Strong background in Microsoft data technologies
Experience in enterprise integration and data architecture
A collaborative communicator able to influence and navigate technical teams

Job Responsibility

Design and implement an enterprise data ecosystem using the full Microsoft stack (Azure, Fabric, MS365, APIs/Pipelines)
Integrate core systems including: Finance, Intake, DMS, Microsoft 365 Suite
Create a single view of data for the organisation and enable advanced analytics and AI use cases
Collaborate closely with IT, Cyber Security, and business stakeholders

Fulltime

Data Architect

We are seeking an innovative and detail-oriented Data Architect to join our team...

Location

Netherlands , Nieuwegein

Salary:

3000.00 - 6000.00 EUR / Month

Sopra Steria

Expiration Date

Until further notice

Requirements

HBO or WO education in IT or a related field
approximately 2 years of experience as a Data Architect
TOGAF certification is preferred
extensive knowledge of data structures, data mapping, and data modelling techniques (e.g., datavault, dimensional, semantic)
proficiency in cloud technologies and experience with complex data integration problems
expertise in ETL/ELT processes, AI, Data Science, SQL and No-SQL databases, RDF (Linked Data), and Knowledge graphs
strong understanding of data privacy, security, and regulatory compliance (e.g., GDPR)
experience with data governance and data quality management practices
excellent analytical and problem-solving skills
strong communication abilities to effectively liaise between technical and non-technical stakeholders

Job Responsibility

Develop and maintain a comprehensive data architecture strategy aligned with organisational goals
design, implement, and oversee robust data models and structures to support business intelligence and analytics initiatives
collaborate with cross-functional teams to understand data requirements and translate them into effective architectural solutions
create and maintain data flow diagrams, entity-relationship diagrams, and other technical documentation
establish data governance policies and ensure adherence to data quality standards
implement data security measures and ensure compliance with relevant regulations (e.g., GDPR)
evaluate and recommend new technologies and tools to enhance data management capabilities
provide technical leadership and mentorship to data engineers and analysts
develop and present data architecture roadmaps to senior management and stakeholders
continuously monitor and optimise data architecture performance and scalability

What we offer

A permanent contract
a gross monthly salary between €3,000 and €6,000
8% holiday allowance
a generous mobility budget including options such as an electric lease car with an NS Business Card, a lease bike, or alternative transportation
8% profit sharing on target (or a fixed OTB amount depending on the role)
27 paid vacation days
a flex benefits budget of €1,800 per year plus an additional percentage of your salary
a home office setup with a laptop, phone, and monthly internet allowance
hybrid working
development opportunities through training, knowledge-sharing sessions, and inspiring (networking) events

Fulltime

New

Senior Solutions Architect & Customer Advisor – Hybrid Cloud, Data and AI

We are seeking an exceptional Senior Solutions Architect & Customer Advisor to s...

Location

United States

Salary:

161000.00 - 268300.00 USD / Year

Rackspace

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering or related field
MBA or relevant graduate degree preferred
15+ years of hands-on experience in cloud architecture, enterprise infrastructure or solutions architecture
Proven track record designing and implementing large-scale cloud solutions for enterprise clients
Deep expertise in Hybrid Cloud and Data Center architecture with focus on at least two major platforms (AWS, Azure, GCP) and experience with private cloud platforms (VMware, OpenStack)
Strong technical foundation in infrastructure, networking, security, and cloud-native development
Demonstrated ability to architect solutions from requirements through implementation
Experience working with Banking & Financial Services or Healthcare clients on cloud initiatives
Information security, risk management, and regulatory expertise
Understanding of industry-specific operational models and applications

Job Responsibility

Lead technical discovery engagements to assess current cloud maturity, identify hybrid cloud opportunities, and understand infrastructure and application modernization requirements
Conduct comprehensive assessments of customer technology environments to identify gaps, risks, and transformation opportunities
Translate customer business challenges into technical requirements and cloud architecture specifications
Design end-to-end cloud solutions across private cloud, hybrid cloud, and data center ecosystems, including network and cybersecurity
Develop technical roadmaps that align cloud strategy with business objectives
Create proofs-of-concept, reference architectures, and migration strategies
Architect and optimize hybrid cloud solutions across AWS, Azure, and/or GCP platforms, ensuring resilience, scalability, and operational excellence
Design cloud-native architectures leveraging infrastructure-as-code (Terraform, CloudFormation), automation, and DevOps practices
Provide technical leadership on data center modernization, VMware environments, and private cloud platforms
Advise on AI/ML integration, intelligent automation, and emerging cloud technologies

What we offer

incentive compensation opportunities in the form of annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP)

Fulltime

Senior Data Architect

Experienced Data Architect to design, develop, and implement comprehensive enter...

Location

India , Noida; Chennai; Bangalore

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

11+ years of experience in data engineering/management roles
3+ years in enterprise-level data architecture and data governance
Proven experience of defining the global architecture of the Single Source of Truth and its three components (Access, Knowledge, Trust)
Design and document data models and architecture frameworks aligned with group standards
Integrate real-time and streaming (event-driven architecture) capabilities into the overall design
Proven experience implementing solutions using Snowflake (Preferable) and Databricks
Strong background in Data Governance, Data Quality, and Master data Management (MDM)
BE / B.Tech/ MS/ M.Tech/ MCA qualification

Job Responsibility

Design, develop, and implement enterprise-wide data architecture, models, and integration frameworks
Establish and enforce data governance standards, policies, and best practices
Design, build and optimize data platforms using Snowflake (preferable) and/or Databricks
Oversee and guide complex data transformation for large and diverse datasets, ensuring Data integrity, quality, and performance
Drive the creation and maintenance of advanced data models, to support both analytical and operational needs
Ensure consistency and reusability of models across business domains and systems
Implement MDM, Lineage tracking, and Data cataloguing
Guarantee consistency between technical design and trust framework (quality, compliance, security)
Collaborate with business stakeholders to align data strategy with organizational objectives, document use cases, and design processes, ensuring alignment with technical implementation
Provide guidance to engineering teams for solution design and implementation

Fulltime

Data & AI Architect

MojoTech

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 10, 2025

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