Our client is seeking a highly skilled Senior Data Engineer / Data Architect to assess, modernize, and optimize an enterprise data platform supporting critical business operations and analytics initiatives.

This position is ideal for a seasoned data professional who combines hands-on engineering expertise with architectural leadership. The successful candidate will evaluate existing data lake architecture, develop modernization strategies, implement governance best practices, and help drive the future state of a scalable, secure, and enterprise-ready data ecosystem.

You will collaborate with business stakeholders, technology teams, and leadership while serving as a technical mentor and trusted advisor on data architecture, governance, integration, analytics, and cloud data platform strategy.

Key Responsibilities

Data Architecture & Platform Strategy

• Assess and evaluate existing enterprise data lake architecture, including ingestion, transformation, storage, security, lineage, and reporting layers
• Develop target-state architecture recommendations and modernization roadmaps
• Design scalable solutions leveraging Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), OneLake, and Power BI
• Recommend best practices for performance, scalability, governance, monitoring, and operational readiness
• Lead architectural reviews and present recommendations to technical and business stakeholders

Data Engineering & Integration

• Design, develop, and maintain enterprise-grade ETL/ELT pipelines
• Build reliable and scalable data ingestion and transformation processes
• Support lakehouse, data warehouse, and semantic modeling initiatives
• Optimize data integration workflows, query performance, and data processing efficiency
• Develop trusted reporting datasets and analytics-ready data products

Data Governance & Quality

• Establish and maintain enterprise data governance frameworks
• Implement metadata management, data cataloging, lineage, and business glossary standards
• Define and enforce data quality controls, validation procedures, and monitoring processes
• Support data classification, sensitivity labeling, retention requirements, and audit readiness
• Ensure compliance with security, privacy, and governance policies

Analytics & Reporting Enablement

• Support Power BI semantic models, reporting architectures, and self-service analytics initiatives
• Collaborate with analysts and business teams to deliver trusted data solutions
• Improve data accessibility while maintaining governance and security standards

Technical Leadership & Mentorship

• Serve as a technical leader for data engineering and architecture initiatives
• Provide mentoring, code reviews, and design guidance to engineers and BI professionals
• Develop standards, documentation, architecture diagrams, and operational runbooks
• Promote best practices across development, testing, deployment, and support processes

Preferred Technical Environment

Microsoft Data Platform

• Microsoft Fabric
• Azure Synapse Analytics
• Azure Data Lake Storage (ADLS Gen2)
• OneLake
• Power BI
• Power Automate
• Microsoft Purview
• Azure Data Integration Services

Data Engineering & Architecture

• Data Lakes & Lakehouse Architectures
• Enterprise Data Warehousing
• Dimensional Modeling
• Semantic Modeling
• Metadata Management
• Data Governance
• ETL/ELT Development
• Advanced SQL
• Data Quality & Reconciliation

DevOps & Platform Operations

• Git-Based Source Control
• CI/CD Pipelines
• Release Management
• Deployment Automation
• Monitoring & Alerting
• Environment Promotion Strategies
• Rollback Planning

Additional Preferred Experience

• Snowflake Architecture & Administration
• Secure Data Sharing
• Query Performance Optimization
• Resource Monitoring & Cost Optimization
• Cloud Data Platform Evaluations
• Cross-Platform Architecture Planning

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Information Technology, or related field
• 7+ years of experience in Data Engineering, Data Architecture, Business Intelligence Engineering, or Enterprise Data Platforms
• Strong experience with Microsoft Fabric, Azure Synapse, ADLS Gen2, Power BI, Microsoft Purview, and Azure data services
• Expertise in enterprise data lake, lakehouse, and data warehouse architectures
• Advanced SQL development and performance tuning experience
• Experience designing and implementing enterprise data governance frameworks
• Strong understanding of metadata management, data lineage, cataloging, and data quality controls
• Experience leading architecture assessments, roadmap planning, and modernization initiatives
• Excellent troubleshooting, problem-solving, and documentation skills
• Strong communication skills with the ability to present complex technical concepts to both technical and non-technical audiences
• Experience mentoring engineers, analysts, and technical teams

Preferred Qualifications

• Microsoft Fabric Data Engineer Associate
• Microsoft Fabric Analytics Engineer Associate
• Azure Solutions Architect Expert
• Microsoft Power BI Data Analyst Associate
• Microsoft Purview or Data Governance certifications
• Azure Data Fundamentals or Security certifications
• Snowflake SnowPro certifications
• Experience comparing and evaluating Microsoft and Snowflake data platforms
• Knowledge of data privacy, governance, security, and compliance frameworks
• Experience in highly regulated enterprise environments

What Makes This Opportunity Attractive

• Lead enterprise-wide data architecture and modernization initiatives
• Significant influence over future-state data platform strategy
• Exposure to Microsoft Fabric and modern cloud analytics technologies
• Opportunity to establish governance standards and engineering best practices
• High visibility role partnering with business and technology leadership
• Collaborative environment with strong focus on innovation, scalability, and long-term data strategy