Manager, Platform Data Architecture

Key Responsibilities

• Manage and mentor a team of data developers, fostering technical excellence and professional growth
• Define and enforce data architecture standards, best practices, and governance frameworks
• Partner with business stakeholders, IT leadership, and product teams to translate business requirements into scalable data solutions
• Oversee data integration strategies across internal and external systems (ETL/ELT, APIs, streaming)
• Ensure data quality, security, privacy, and compliance with regulatory standards (e.g., GDPR, HIPAA as applicable)
• Support analytics, AI/ML, and reporting initiatives by enabling accessible and well-structured data assets
• Develop and maintain data engineering architecture documentation, including design specifications, data flow diagrams, and interface guidelines.
• Monitor and troubleshoot data engineering processes, identifying and resolving issues to ensure reliable and efficient data flow.
• Drive continuous improvement in data engineering practices, adopting new technologies and methodologies to enhance the engineering process.
• Provide regular updates and reports to senior management on data engineering projects, status, risks, and opportunities.
• Foster a collaborative and innovative team culture, encouraging professional growth and development.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Advanced degree preferred)
• Previous data architecture or data engineering experience that provides the knowledge, skills, and abilities to perform the job (comparable to 8+ years’ experience)
• 2+ years of experience managing technical teams

Qualifications

• 5+ years of hands-on experience with DBT/Python, Talend and Snowflake/Databricks in production environment
• Solid SQL and understanding of database technologies like Snowflake, Databricks
• Excellent problem-solving skills and the ability to think strategically
• Strong experience with cloud platforms (AWS, Azure, or GCP) and modern data stack technologies
• Expertise in data modeling, database design (SQL/NoSQL), and data integration frameworks
• Solid understanding of data governance, data quality, and security best practices
• Experience in regulated industries (e.g., healthcare, life sciences, finance) (preferred)
• Familiarity with data mesh or data fabric architectures (preferred)
• Certifications in cloud platforms or data architecture (preferred)
• Demonstrated leadership abilities with a focus on team development
• Proven track record in process improvement and project management
• Strong analytical and problem-solving skills
• Excellent communication abilities across all organizational levels
• Ability to manage multiple priority projects simultaneously