About The Role

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

Platform Delivery & Operations

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

Data Governance & Security

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

Technology Leadership

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)

Team Leadership & Development

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

Stakeholder Engagement

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

Qualifications & Experience

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

Preferred Skills

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

Work Environment & Operating Model

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

About The Platform

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

Director-Enterprise Data Platform