Lead Data Architect

Enterprise Data Architecture Leadership

• Lead the design and roadmap of enterprise data architecture, including:
• Data warehouses
• Data marts
• Operational data stores
• Ensure alignment of data models and structures with enterprise standards and modernization goals.
• Oversee logical and physical data modeling across systems and programs.
• Direct and review source-to-target mappings for integration and transformation projects.

• Manage, mentor, and guide a team of Data Architects.
• Provide work direction, coaching, and quality assurance of deliverables.
• Allocate resources and prioritize architectural work across projects.
• Establish and enforce best practices, standards, and consistent methodologies.
• Support professional growth and skill development aligned with enterprise strategy.

• Define and enforce data architecture standards, including:
• Metadata management
• Naming conventions
• Data modeling principles
• Data lineage documentation
• Lead development and validation of data quality rules
  .
• Ensure complete, end-to-end data lineage and traceability
  .
• Maintain compliance with enterprise governance frameworks and regulatory requirements.

• Partner with engineering and analytics teams to design scalable data solutions and pipelines.
• Provide expert guidance on:
• Database performance optimization
• Data loading strategies
• Disaster recovery and resiliency
• Influence technology decisions to support modernization and scalability.
• Evaluate emerging tools, technologies, and architecture patterns.

• Work with business leaders, architects, and program teams to align data strategies with organizational goals.
• Participate in project intake, solution design, and architectural reviews.
• Promote a data-driven culture focused on data quality, governance, and innovation.

• Ensure all architectural artifacts (models, mappings, lineage, governance documents) are:
• Accurate
• Accessible
• Maintained to enterprise standards
• Review and approve deliverables to ensure consistency and quality.

• Minimum 7+ years of experience managing large-scale, complex database systems.
• Minimum 7+ years of experience in ETL/data engineering
  , including:
• At least 3 years with Azure technologies
  :
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Synapse Analytics
• Azure Purview
• Proven experience leading and managing data architecture or engineering teams.
• Strong expertise in:
• Data modeling and architecture
• Cloud data ecosystems
• Modern data engineering frameworks
• Advanced proficiency in:
• SQL
• Spark
• Python or Scala
• Experience building and optimizing large-scale ETL pipelines.
• Solid understanding of:
• Data governance frameworks
• Data security and RBAC within Azure
• Strong communication and stakeholder engagement skills.

• Experience with AWS data platforms
  , including:
• AWS S3
• Data Sync
• Data warehousing solutions
• Knowledge of compliance standards such as:
• Criminal Justice Information (CJI)
• HIPAA
• Personally Identifiable Information (PII)
• Relevant certifications:
• Azure Data Engineer Associate
• Azure Solutions Architect Expert
• Azure Fundamentals
• Databricks Data Engineer Associate

• Leadership: Inspires teams, drives accountability, and promotes excellence.
• Strategic Thinking: Aligns data architecture with long-term business goals.
• Communication: Effectively communicates with both technical and non-technical audiences.
• Problem Solving: Identifies complex challenges and delivers scalable solutions.
• Collaboration: Builds strong partnerships across business and IT teams.
• Innovation: Continuously improves data architecture using modern technologies and practices.