Director-Enterprise Data Platform

The Data Platform Leader is responsible for defining, building, and operating the Enterprise Data Platform (EDP), a centralized, governed, and scalable data foundation that enables enterprise analytics and accelerates insight delivery. This role owns the end-to-end data platform capability as a strategic enterprise asset, including vision, investment direction.

The role leads the design and execution of a modern AWS Native Lakehouse platform, ensuring secure, high performance, and self-service access to trusted data across the organization. It requires a balance of deep technical expertise, strong leadership, and the ability to operate within a federated data model that supports domain ownership while maintaining centralized governance.

Roles And Responsibilities

Platform Strategy

• Define and execute the enterprise data platform strategy and roadmap
• Design and evolve a modern AWS native lakehouse architecture
• Establish scalable, reusable data platform patterns and standards
• Drive migration from legacy Microsoft based data platforms
• Define and evolve the federated data operating model, including domain responsibilities and data product standards

• Own delivery and ongoing operation of the data platform
• Oversee development of data ingestion pipelines and transformation frameworks
• Ensure platform reliability, performance, and scalability
• Implement monitoring, observability, and operational controls
• Optimize platform cost efficiency across storage, compute, and data processing workloads

• Define and enforce data governance standards, policies, and controls
• Implement fine-grained access control using AWS Lake Formation
• Enable enterprise data cataloging, metadata management, and discovery (e.g., AWS DataZone)
• Ensure compliance with security, regulatory, and audit requirements

• Lead tooling and technology decisions across the platform ecosystem
• Define reference architectures for batch, streaming, and real-time processing
• Standardize orchestration and data processing patterns
• Own integration strategy and interoperability with analytics and BI tools such as Power BI, SQL based platforms, Agentic AI capabilities (e.g., model context protocol, data access patterns for AI workloads)

• Lead, mentor, and grow a team of data engineers and analysts
• Establish engineering standards, best practices, and quality frameworks
• Build capabilities in modern data engineering, governance, and platform operations
• Foster a culture of accountability, innovation, and continuous improvement

• Drive alignment with business domains to onboard and scale data products
• Enable self-service data access and consumption
• Drive alignment with architecture, security, and analytics teams
• Act as the primary escalation point for platform related decisions

Required Skills & Experience

• 8+ years of experience in data engineering, data platforms, or related fields
• 3+ years of experience leading data engineering or platform teams
• Strong hands on experience with AWS data ecosystem:
• S3, Glue, Lake Formation, DataZone, IAM
• Athena, Redshift, or similar query engines
• Experience designing and implementing Lakehouse or modern data platform architectures
• Expertise in data ingestion, ETL/ELT pipelines, and orchestration frameworks
• Strong understanding of data governance, security, and access control models
• Experience with enterprise data cataloging and metadata management

• Experience migrating from Microsoft centric data platforms (e.g., SQL Server, SSIS, Azure)
• Familiarity with domain oriented or data mesh operating models
• Experience supporting analytics tools such as Power BI
• Knowledge of data sharing and cross domain data product models
• Exposure to agentic AI capabilities and data access patterns for AI workloads

• Operates within a federated data model balancing centralized governance and domain ownership
• Supports a self service data ecosystem with governed access and discovery
• Enables cross domain data sharing with secure, fine grained controls
• Partners closely with domain teams, analytics users, and enterprise architecture

The Enterprise Data Platform (EDP) provides a centralized, governed, high performance data foundation built on an AWS native lakehouse architecture. It enables scalable data ingestion, secure data sharing, enterprise-wide data discovery, and flexible analytics consumption across tools and domains.

Competencies

• Strategic thinking and platform mindset
• Strong technical leadership and decision making
• Ability to operate in a federated, cross functional environment
• Communication and stakeholder management skills
• Delivery ownership and execution focus
• Continuous improvement and innovation mindset