Data Architect

Job description

• 10+ years of experience in data architecture, data engineering, or solution architecture roles • Design and architect end-to-end data warehouse and data management solutions on Databricks, Snowflake, AWS, and Azure • Lead solution architecture discussions with clients and translate business requirements into scalable technical designs • Define data architecture standards, frameworks, and best practices for data ingestion, transformation, storage, and consumption • Hands-on expertise with Databricks, Snowflake, Data Engineering and workflow orchestration tools, SQL, Python, Pyspark • Experience with Azure data services (Azure Synapse, Azure Data Factory, ADLS) and AWS data services (Redshift, Glue, S3, Lake Formation) • Proven track record in technology consulting client-facing, project delivery, and stakeholder management • Knowledge of GenAI tools and technology, Databricks Genie, Snowflake Cortex and preferably working experience in Projects/Pilots • Experience in working with teams for enabling Business intelligence, AI/ML, GenAI initiatives • Familiarity with data modeling techniques (dimensional, data vault, star/snowflake schema) • Experience in building Solution accelerators for data engineering and data management • Expertise in RFP due diligence, solution architecture, estimation, proposal preparation and presentation • Experience with Data & Analytics implementation in Pharma Industry is preferred. • Strong communication and presentation skills, ability to present complex technical concepts, lead workshops and architecture design sessions • Consulting mindset, clear problem definition, structured problem-solving, client-focused, delivery-oriented