Director-Enterprise Data Platform
Access | Information Management
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Job summary
Access | Information Management is seeking a Data Platform Leader to define, build, and operate the Enterprise Data Platform (EDP). The role drives vision, investment direction, and end-to-end platform capability as a strategic enterprise asset.
Lead the design of a modern AWS native lakehouse, ensure secure, high-performance, self-service data access, and govern data across domains with centralized governance.
Qualifications
- 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.
Responsibilities
- Define and execute the enterprise data platform strategy and roadmap.
- Design and evolve a modern AWS native lakehouse architecture.
- Establish scalable data platform patterns and standards.
- Oversee migration from legacy Microsoft data platforms.
- Define federated data operating model with domain responsibilities.
Skills
Tools
Job description
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 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.
- 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
- 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.
- 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
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