Data Platform Lead

Florence Healthcare - US • Atlanta, GA

62d

About The Position

We are seeking an experienced Data Platform Lead to establish and lead our Data Center of Excellence (CoE) in Florence and drive the architecture, scalability, and governance of our enterprise data platform. This role will focus on building AI-driven, high-quality data pipelines, reusable templates, and standardized APIs while promoting Data Mesh principles and Master Data Management (MDM) practices. The Data Platform Lead will be responsible for delivering data solutions that enable internal teams and external customers to access reliable, governed, and reusable data products.

Requirements

• 10+ years of experience in data engineering, data platform, or data architecture, including 4+ years in a leadership role.
• Proven experience establishing Data Centers of Excellence or leading centralized data platform teams.
• Hands-on experience with Snowflake, DBT, Kafka, PostgreSQL, MongoDB, and cloud-based data pipelines.
• Familiarity with Data Mesh principles, MDM, and federated data governance.
• Expertise in AI/ML applications for data quality improvement, anomaly detection, and metadata enrichment.
• Strong knowledge of ETL/ELT pipelines, API design, data modeling, and metadata management.
• Programming experience in Python and AWS cloud platforms.
• Extensive experience with SQL and NoSQL databases.
• Strong leadership, collaboration, and communication skills to drive alignment across teams.

Nice To Haves

• Experience in data cataloging, lineage tracking, and data observability tools.
• Background in regulated industries (healthcare, clinical trials) with compliance and governance expertise.
• Prior experience in building standardized APIs and data productization for internal and external stakeholders.

Responsibilities

• Lead the Florence Data Center of Excellence, setting standards, best practices, and governance for data platform operations across the organization.
• Implement and manage standard data feeds and APIs for internal and external data consumers, ensuring reliability, security, and scalability.
• Architect and operationalize Data Mesh principles, empowering domain-driven data ownership and productization.
• Drive AI/ML-enabled data quality frameworks for validation, anomaly detection, and automated cleansing.
• Develop reusable templates and scalable data pipelines across cloud and hybrid environments using Snowflake, DBT, Kafka, PostgreSQL, and MongoDB.
• Lead Master Data Management (MDM) initiatives to maintain a single source of truth across domains.
• Collaborate cross-functionally with Engineering, Product, Data Science, and Business teams to align data strategy with enterprise goals.
• Mentor and grow a high-performing data engineering team, fostering innovation, technical excellence, and accountability.
• Build Metrics to track data quality and leading data driven culture.
• Provide expertise in Data Mesh, MDM, AI-powered data quality, and standard API-driven data delivery.
• Lead cross-functional teams and influence data strategy at an enterprise level.

Benefits

• Competitive compensation package.
• Medical and dental insurance.
• Office space in the heart of the city.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 251-500 employees