Data Architect Manager (Hybrid | Direct Hire)

We are seeking a hands-on Data Architect Manager to lead the design and governance of enterprise data architecture while managing a small, high-impact team. This role blends technical architecture with leadership, making it ideal for someone who has grown from a senior data engineer or architect into a team lead or manager.

You'll play a critical role in shaping how data flows across the organization-from core transactional systems into a modern cloud-based analytics platform-while ensuring scalability, performance, and governance across the ecosystem.

Key Responsibilities

Data Architecture & Design

• Define and implement enterprise data architecture standards across modeling, integration, and governance
• Design scalable data models within a modern lakehouse architecture (multi-layered data environments)
• Establish canonical data models and semantic layers to support analytics and reporting
• Ensure data quality, lineage, and security standards are enforced across platforms

Databricks & Cloud Platform

• Lead architecture within a Databricks-based environment, including Delta Lake and cataloging frameworks
• Partner with engineering teams to optimize batch and streaming data pipelines
• Guide best practices for performance tuning, ingestion, and transformation processes
• Align architecture with a cloud-first ecosystem (Azure-focused environment)

Leadership & Team Management

• Lead, mentor, and develop a team of data engineers/architects (typically 3-5 direct reports)
• Provide hands-on technical guidance while setting direction and priorities
• Review and approve data models and architectural decisions across teams
• Influence stakeholders across engineering, analytics, and business groups

Enterprise Data Integration

• Design data models aligned to core business domains such as finance, supply chain, and operations
• Work with large-scale ERP data sources and enterprise systems
• Translate business requirements into scalable data architecture solutions

• 7+ years of experience in data architecture or data engineering
• Proven hands-on experience with Databricks (Lakehouse, Delta, etc.)
• Strong experience with cloud platforms (Azure preferred)
• Deep understanding of data modeling (dimensional, star/snowflake schemas)
• Strong SQL and Python expertise
• Experience with enterprise data environments and large-scale systems
• Demonstrated leadership experience (team lead, manager, or technical lead)

Preferred Experience

• Experience working with ERP data (finance, supply chain, logistics domains)
• Exposure to modern data integration tools (Fivetran, Informatica, etc.)
• Experience supporting BI/reporting tools (Power BI, Tableau, etc.)
• Familiarity with data governance, security, and compliance frameworks
• Exposure to AI/ML data architecture concepts

Work Environment

• Hybrid schedule (currently more remote, transitioning to 1-2 days onsite)
• Direct hire opportunity with leadership responsibilities
• High-visibility role within a growing data organization
• Hands-on leadership culture-leaders are expected to stay close to the technology