Director, Data Architecture – Governance

This is a fully remote position, open to applicants in Florida, +4 more states.

📋 Description

• Define and take ownership of the enterprise data architecture strategy, roadmap, standards, and reference architectures.

• Design scalable cloud-native data platforms utilizing Databricks Lakehouse, Delta Lake, Unity Catalog, and contemporary data engineering principles.

• Lead the architecture for enterprise data products, analytics, AI, and operational data platforms.

• Establish enterprise integration patterns, canonical data models, and reusable architecture frameworks.

• Conduct architecture reviews and assess emerging technologies.

• Direct conceptual, logical, and physical enterprise data modeling.

• Set standards for dimensional modeling, Data Vault 2.0, semantic layer modeling, canonical modeling, and master data modeling.

• Oversee enterprise information architecture and create reusable enterprise data models and design patterns.

• Establish and manage the enterprise data governance framework, including policies, standards, stewardship processes, and operating models.

• Lead initiatives in metadata management, business glossary, lineage, catalog, reference data, and master data.

• Develop a data quality strategy, standards, scorecards, monitoring, remediation processes, and automated quality controls.

• Act as the lead architect for complex enterprise initiatives and design solution architectures.

• Create architecture standards, reusable frameworks, and reference implementations.

• Engage in architecture reviews, code reviews, design workshops, and proof-of-concepts.

• Evaluate SQL, Spark, Python, and Databricks implementations.

• Troubleshoot intricate data architecture, integration, modeling, metadata, and performance issues.

• Mentor architects and engineering teams.

• Build, mentor, and lead a team of enterprise data architects and governance professionals.

• Establish architecture review boards and governance councils.

• Collaborate with Engineering, AI, Reporting, Infrastructure, Security, and business leaders.

• Communicate architectural strategy and technological direction to executive leadership.

• Promote technical excellence, innovation, governance, and continuous improvement.

⛳️ Requirements

• Bachelor's degree in computer science, Information Systems, Engineering, or a related field.

• Over 10 years of experience in enterprise data architecture, data engineering, or enterprise information management.

• More than 5 years of experience leading enterprise architecture or technical teams.

• Expert-level proficiency in SQL development and query optimization.

• Strong practical experience with Python, Apache Spark, and modern data engineering methodologies.

• In-depth expertise in Databricks Lakehouse, Delta Lake, Unity Catalog, and cloud-native data platforms.

• Extensive background in designing enterprise-scale data architectures on Azure or AWS.

• Comprehensive knowledge of dimensional modeling, Data Vault 2.0, semantic layer design, canonical data models, and master data modeling.

• Significant experience with enterprise data modeling tools such as ERwin, ER/Studio, Sparx Enterprise Architect, or equivalent.

• Experience in implementing enterprise metadata management, lineage, business glossary, and data catalog solutions.

• Strong background in implementing enterprise MDM and data governance frameworks.

• Familiarity with establishing enterprise data quality frameworks and automated quality controls.

• Experience with CI/CD, Infrastructure as Code, and contemporary DevOps practices.

• Excellent communication, executive presentation, and stakeholder management abilities.

• Preferred certifications include: Certified Data Vault 2.0 Practitioner or Professional; Databricks Certified Data Engineer Associate or Professional; Microsoft Certified: Azure Solutions Architect Expert; AWS Certified Solutions Architect Associate or Professional; DAMA Certified Data Management Professional.

• Certifications in Microsoft Purview, Collibra, Alation, or Informatica governance are advantageous.

• Background screening may involve employment verification, education verification, criminal history checks, and other job-related inquiries.

🏝️ Benefits

• Paid Time Off (PTO)

• Medical insurance

• Dental insurance

• Vision insurance

• Retirement savings

• Disability insurance

• Life insurance

• Eligibility for discretionary annual bonus