Data Architect

Job Description

• Lead the architecture and design of end to end data and analytics solutions using Microsoft Fabric, including OneLake, Lakehouse, Data Pipelines, Notebooks, and Power BI integration.
• Design and implement data ingestion, transformation, and orchestration frameworks for batch and Real Time use cases using Python, SQL, and Spark based processing.
• Define and enforce data architecture patterns, including medallion (Bronze/Silver/Gold) architectures, data modeling, and performance optimization strategies.
• Act as a technical advisor to business and delivery teams, translating business requirements into scalable technical solutions.
• Partner with data engineers, analytics developers, and platform teams to ensure best practices for security, governance, and compliance are Embedded into all solutions.
• Support solutioning activities including technical discovery, architecture diagrams, estimates, and solution documentation.
• Guide CI/CD and automation strategies for data solutions using cloud native tooling and pipelines.
• Provide technical leadership during implementation, troubleshooting complex issues and driving continuous improvement.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

• 7+ years of experience in data engineering or solution architecture roles
• Hands on experience with Microsoft Fabric in production environments, including Lakehouse, Data Pipelines, and Power BI integration
• Strong proficiency in Python Scripting for data processing, automation, and analytics workflows
• Experience designing and implementing cloud based data platforms (Azure preferred)
• Solid understanding of data modeling, ETL/ELT patterns, and analytics architectures.
• Ability to communicate complex technical concepts clearly to both technical and non technical stakeholders.
• Experience with Databricks
• Familiarity with data governance, security, and compliance practices in enterprise environments.
• Experience supporting pre sales or solutioning efforts, including client presentations and architecture reviews.
• Background in Power BI semantic models and enterprise reporting strategies.
• Exposure to DevOps or CI/CD practices for data and analytics platforms.