Manager of Data Architecture

Data Architect Manager (Hybrid | Direct Hire)

Location:

Dallas-Fort Worth, TX (Hybrid - 1-2 days onsite)

Compensation:

$165,000+ (flexible for leadership experience) Please note: No C2C, agency referrals or sponsorship available Overview 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 Required Qualifications 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 #SNIT