Senior Azure Data Platform Architect

W Talent; Philadelphia (Philadelphia County); On-site; USD 120,000 - 150,000; Full time

Job summary

W Talent is looking for a hands-on Data Architect in Philadelphia, PA, to design and build a modern, Azure-focused data platform. This role involves integrating multiple data sources, developing optimized data pipelines, and leading data modeling while ensuring quality and governance. Candidates should have a proven track record with cloud platforms, preferably Azure, and experience with tools like Databricks and Azure Data Factory. This opportunity allows for significant influence on architecture and data strategy within a lean high-impact team.

Qualifications

• Proven track record building modern cloud data platforms, preferably Azure.
• Experience with Databricks, Azure Data Factory, Synapse, or similar tools.
• Solid data modelling experience (dimensional / relational).
• Ability to balance architecture with pragmatism and avoid over-engineering.
• Experience in financial services or regulated environments is a plus.

Responsibilities

• Design and build a modern data platform focused on Azure.
• Bring together multiple data sources into a single source of truth.
• Develop and optimise data pipelines for ingestion, transformation, and orchestration.
• Lead data modelling activities across the platform.
• Embed data quality, governance, and controls into architecture.
• Enable self-service analytics and BI for stakeholders.

Skills

Building modern cloud data platforms

Experience with Databricks

Solid data modelling experience

Ability to balance good architecture with pragmatism

Experience in financial services

Tools

Azure Data Factory

Azure Synapse

Job description

W Talent is looking for a hands-on Data Architect in Philadelphia, PA, to design and build a modern, Azure-focused data platform. This role involves integrating multiple data sources, developing optimized data pipelines, and leading data modeling while ensuring quality and governance. Candidates should have a proven track record with cloud platforms, preferably Azure, and experience with tools like Databricks and Azure Data Factory. This opportunity allows for significant influence on architecture and data strategy within a lean high-impact team.