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 P
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.