Design enterprise and solution-level data architectures aligned to client business goals.
Define target-state architectures, migration roadmaps, and reference architectures across analytics, AI/ML, and operational intelligence use cases.
Architect, implement, and optimize cloud data platforms using Microsoft Fabric, Azure, Databricks, and related services.
Guide ingestion, transformation, orchestration, and semantic modeling patterns.
Define and implement governance frameworks including metadata management, lineage, data quality, security, and privacy using tools such as Microsoft Purview.
Partner with security and compliance teams to ensure regulatory alignment.
Enable advanced analytics, machine learning, and AI workloads through well-architected lakehouse, warehouse, and real-time data solutions.
Provide architectural leadership across project teams.
Mentor engineers and analysts on best practices, patterns, and emerging technologies.
Serve as a trusted advisor to clients, supporting solution envisioning, proposals, and thought leadership.
Contribute to practice development and go-to-market initiatives.

7+ years of relevant experience in data architecture, data engineering, or analytics platform design.
10 Years of experience preferred.
Bachelor’s degree required; relevant experience may be considered in lieu of degree.
Preferred fields: Computer Science, Information Systems, Engineering, Data Science, or related disciplines.
Technical Skill Concentrations:
Microsoft Fabric (OneLake, Data Engineering, Data Warehousing, medallion architecture (bronze/silver/gold), Real-Time Analytics)
Microsoft Azure (Foundry, Copilot Studio, Azure Data Factory, Synapse, Azure SQL, Event Hubs, Functions)
Microsoft Purview (data catalog, lineage, governance)
Databricks (Lakehouse architecture, Spark, Delta Lake, Unity Catalog)
Additional Platforms: Snowflake, AWS (S3, Glue, Redshift), Google Cloud (BigQuery), Kafka, dbt
Programming & Query Languages: SQL, Python, Scala
Architecture Concepts: Data modeling, semantic layers, streaming architectures, API integration, CI/CD, infrastructure as code
Experience preparing analytics environments for AI/ML workloads
Ability to enable secure data sharing and third-party Travel Requirements Less than 10% travel expected.

Senior Data Architect – Digital Director

Key skills