The Data Architect role supports the Enterprise Data & Information Management (EDIM) organization by architecting, designing, and guiding data strategies and frameworks that enable all Enterprise Data & Analytics (EDAS) initiatives.
Develop cloud data strategies and design data models, ETL/ELT pipelines, and data lake/warehouse solutions.
Create and optimize conceptual, logical and physical data models, implementing data migration strategies, and ensuring the secure and efficient storage of company data.
Develop and maintain architectural solutions that support scalable and secure data ingestion in Azure cloud environments, as well as the consumption of data products for operational analytics and AI/GenAI-enabled solutions.
Shape the organization’s data strategy, drive innovation, and deliver scalable, high‑performing analytics, machine learning, and AI solutions.

Requirements

5 to 7 years of data architecture and design experience, cloud technologies and cloud data solutions experience.
Bachelor's degree in computer science, information technology, or a related field.
Extensive experience as a Data Architect, with a strong focus on Enterprise Data Lake (Azure, AWS etc.), Data Warehouse (Azure Synapse, Snowflake etc.), and Data Hubs (Azure Cosmos DB, MongoDB etc.).
Experience in data modeling (Erwin, Hackolade, DB Artisan or similar), data quality solution (Ataccama, or similar), data governance solution (Unity Catalog, Alation, Azure Purview or similar).
In-depth knowledge and hands-on experience in designing, implementing, and managing cloud-based data analytics, ML. AI solutions using Azure.
Extensive experience in enabling and shaping up data architecture of complex data ecosystems to adopt modern data architecture paradigms like Data Products, Data Mesh, Data Fabric and Domain Driven Design.
Strong experience in data/information modelling (canonical, conceptual and logical data models and data flow charts) at enterprise level, modelling governance and good exposure to data modelling tools and best practices.
A highly capable communicator, both written and verbal, adept in engaging, collaborating, and influencing people across different business units and at all levels of financial service organizations.
Strong knowledge and experience in designing and architecting cloud-based data analytics, ML and AI solutions.
Experience in cloud data architecture and services, including Azure Data Lake, Synapse Analytics, Databricks, Azure SQL Data Warehouse, Cosmos DB, Azure Blob Storage, Azure Data Factory, and Azure Functions.
Successful in driving architectural change that transforms and optimizes complex businesses preferably in financial industry.
Proficiency in SQL, NoSQL, structured and unstructured data.
Well experienced with Relational Data Modeling (3NF and Dimensional Modeling) techniques; familiarity with NoSQL modeling preferred.
Extensive experience with Data Architecture, Database Design including Data Quality and Master Data Management (MDM) tools, processes, and governance.**Experience with ETL and ELT techniques and deep understanding of information architecture including data quality, data governance, data lineage, metadata management and data security.
Strong understanding of big data technologies, data warehousing concepts, and data integration patterns.
Solid understanding of DevOps practices, CI/CD pipelines, and infrastructure-as-code concepts.
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and communicate complex concepts to technical and non-technical stakeholders.

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingETLELTcloud data solutionsSQLNoSQLdata qualitydata governancemachine learning

Soft Skills

communicationcollaborationproblem-solvinganalytical skillsinfluencingengaginginterpersonal skills

Certifications

Bachelor's degree in computer scienceBachelor's degree in information technology