Lead Data Architect

The Lead Data Architect provides enterprise-level leadership for data architecture, governance, and cloud data engineering initiatives. This role is responsible for defining data strategy, leading architecture standards, and managing large-scale data modernization efforts within an Azure-based ecosystem. The position oversees a team of data architects and ensures alignment of data platforms, models, and governance practices with organizational objectives and regulatory requirements., Enterprise Data Architecture Leadership

• Define and lead enterprise data architecture strategy, roadmap, and standards
• Oversee architecture across operational data stores, data warehouses, and data marts
• Ensure consistency across data models, schemas, and integration patterns
• Manage development of logical models, physical models, and source-to-target mappings

Leadership & Team Management

• Lead, mentor, and manage a team of data architects and technical resources
• Provide technical guidance, coaching, and quality oversight
• Allocate architectural resources across initiatives in coordination with program and project leadership
• Establish and enforce standards for data modeling, governance, and documentation

Data Governance & Quality

• Define and enforce data governance frameworks, metadata standards, and naming conventions
• Lead enterprise data quality initiatives including validation, traceability, and lineage tracking
• Ensure compliance with enterprise governance, security standards, and regulatory requirements
• Maintain consistency and quality across all data assets

Azure Cloud Data Engineering & Technical Strategy

• Guide design of enterprise cloud data platforms using Azure tools and services
• Provide technical leadership for ETL pipeline design, data processing, and architecture decisions
• Support optimization strategies for scalability, performance, and reliability
• Evaluate emerging technologies and recommend improvements to data architecture

Cross-Functional Collaboration

• Collaborate with business leadership, architects, engineering teams, and program stakeholders
• Participate in architecture reviews, solution design sessions, and project intake processes
• Promote adoption of data governance practices and data-driven decision-making across the organization

Documentation & Standards Compliance

• Ensure all architectural artifacts meet enterprise standards and documentation requirements
• Maintain documentation including data models, governance frameworks, and migration strategies
• Review and approve technical deliverables produced by the data architecture team

Do you have experience in Technology management?, Do you have a Bachelor’s degree?, * Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent professional experience

• 7 or more years of experience managing enterprise data architecture or large-scale data engineering initiatives
• Strong leadership experience managing data architects or technical architecture teams
• Strong expertise with Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Purview
• 7 or more years of experience in ETL development, data engineering, or data architecture
• Strong experience with Spark, Python, Scala, and large-scale data processing frameworks
• Advanced SQL expertise across complex enterprise data environments
• Strong understanding of data governance, security protocols, Azure RBAC, and compliance frameworks
• Proven experience designing scalable data pipelines and cloud data architectures

Preferred Qualifications

• Experience with AWS data warehouse solutions including S3 or DataSync
• Familiarity with compliance requirements such as criminal justice data, healthcare data, or personally identifiable information
• Microsoft Azure certifications or Databricks certifications

Core Skills & Attributes

• Strong leadership and strategic planning capabilities
• Ability to design and govern large-scale enterprise data systems
• Excellent communication and stakeholder engagement skills
• Strong analytical and problem-solving abilities
• High attention to data quality, security, and compliance
• Ability to operate effectively in complex, regulated environments

• Competitive salary