Data Architect

Role Overview

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• ETL
• MongoDB
• NoSQL
• SQL
• Unity

Benefits

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