Manager II leading data engineering projects at Navy Federal Credit Union. Overseeing data governance and quality initiatives while managing engineering teams in a hybrid work environment.
About the role
- Data Architect specializing in Azure and Databricks technologies at Ness Digital Engineering. Leading the design and implementation of enterprise-scale data solutions.
Responsibilities
- Lead the architecture, design, and implementation of enterprise data warehouses, data lakes, and lakehouses on Azure and Databricks
- Define and enforce data modeling standards, best practices, and guidelines
- Architect end-to-end modern data platforms leveraging Azure Synapse, Databricks, Delta Lake
- Design scalable ETL/ELT pipelines and orchestrate workflows for ingestion, transformation, and consumption
- Partner with business stakeholders, product teams, and data engineers to deliver high-quality data solutions
- Ensure solutions are secure, performant, and compliant with enterprise governance and regulatory standards
- Define data strategy and reference architecture for modernization from legacy to modern architectures
- Provide technical leadership and mentoring to engineering teams
Requirements
- 15+ years of experience in Data Engineering/Architecture
- Proven experience as a Data Architect or Senior Data Engineer/Lead designing and implementing enterprise data warehouses
- Hands-on expertise with Azure services: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure Purview
- Strong expertise with Databricks: Delta Lake, Lakehouse, Spark, MLflow
- Very strong SQL development and optimization skills
- Strong data modeling skills
- Knowledge of traditional data platforms
- Solid understanding of data governance, metadata management, data quality, and security
- Experience in building real-time/streaming data pipelines is a plus
- Bachelor’s/Master’s degree in Computer Science, Information Systems, or related field
- Certifications in Azure Data Engineer/Architect or Databricks preferred.
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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