Design, build, and operate scalable lakehouse solutions that ingest, condition, curate, and transform multi-source data into reliable, reusable enterprise data products using Databricks, Apache Spark, Delta Lake, Unity Catalog, structured streaming, and medallion architecture patterns.
Responsibilities
Design, develop, and maintain scalable batch and streaming data pipelines using Databricks, Apache Spark, PySpark, and Spark SQL.
Build and manage Delta Lake tables using the medallion (bronze/silver/gold) architecture to deliver reliable, analytics-ready data.
Develop real-time and near-real-time data ingestion solutions using Spark Structured Streaming and messaging platforms such as Kafka.
Configure and manage Databricks clusters, jobs, and workflows in production environments.
Implement data governance, access controls, and security best practices using Unity Catalog.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Lead metadata integration and governance initiatives that strengthen enterprise data management capabilities, serving as a key partner to business stakeholders, data stewards, architects, and engineering teams to design, implement, and optimize metadata management solutions using Atlan and related technologies.
Compensation
Medtronic offers a competitive Salary and flexible Benefits Package
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
Responsibilities
Lead metadata integration initiatives using Atlan and related governance technologies across enterprise platforms
Design and implement integrations between metadata repositories, relational databases, Extract, Load, Transform (ELT) pipelines, business intelligence platforms, and external systems
Gather, analyze, and document business and technical requirements for data governance, metadata management, and integration solutions
Maintain the technical roadmap for metadata connectors, governance capabilities, and platform enhancements while aligning priorities with stakeholders
Validate metadata quality, data lineage accuracy, and governance coverage to support enterprise data governance policies
Lead metadata integration and governance initiatives to strengthen enterprise data management capabilities.
Compensation
Medtronic offers a competitive Salary and flexible Benefits Package
Responsibilities
Lead metadata integration initiatives using Atlan and related governance technologies across enterprise platforms.
Design and implement integrations between metadata repositories, relational databases, ELT pipelines, business intelligence platforms, and external systems.
Gather, analyze, and document business and technical requirements for data governance, metadata management, and integration solutions.
Maintain the technical roadmap for metadata connectors, governance capabilities, and platform enhancements while aligning priorities with stakeholders.
Validate metadata quality, data lineage accuracy, and governance coverage to support enterprise data governance policies.
Senior Data Architect responsible for designing and deploying a modern, greenfield data ecosystem to support the TOS II contract at Arnold Engineering Development Complex.
Compensation
L10: $148,000 - $197,500; L11: $171,000 - $228,000 / per year
Responsibilities
Architect scalable, high-throughput data pipelines and hybrid cloud/on-premise storage repositories
Translate product vision, feature backlogs, and user stories into technical system designs
Design real-time and batch ingestion architectures for massive telemetry and sensor data
Create and enforce enterprise-level data models, master data schemas, and data dictionaries
Implement DoD Zero-Trust data access principles and NIST SP 800-171/DoD 8570 controls
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related STEM field
As our very first Data Governance Lead, you’ll work shoulder-to-shoulder with our Data Architects and Data Engineers to bring architecture, governance, quality, and lineage together into one seamless ecosystem.
Compensation
An industry benchmarked salary. We’ll share it during your first conversation.
Responsibilities
Define a practical governance roadmap using DAMA-DMBOK and DCAM
Build a quality framework from scratch
Partner with Data Architects to pick and embed governance tooling
Write clear policies for data ownership, access, and retention that align with UK GDPR, the Data Protection Act, and sector rules
The Senior Analyst – Data Governance Product Management acts as a Technical Product Manager and Senior Data Business Analyst bridging business stakeholders, data governance leads, and data engineering teams. In this role, you will take ownership of defining, documenting, and executing the technical product roadmap for enterprise data governance assets and platforms.
Locations (2)
Hyderabad, Telangana, India
Chennai, Tamil Nadu, India
Responsibilities
Lead discovery and elicitation sessions with business stakeholders, data owners, and technical teams to define data governance product capabilities, workflows, and integrations
Author detailed Product Requirement Documents (PRDs), Source-to-Target Mappings (SSTMs), user stories, data dictionary definitions, and architecture flowcharts using Confluence and Jira
Manage feature prioritization, sprint backlogs, acceptance criteria, and user acceptance testing (UAT) in an Agile data product delivery environment
Drive enterprise-wide adoption, configuration, and maintenance of Data Catalog platforms (e.g., Collibra), ensuring comprehensive business glossaries, asset definitions, and critical data elements (CDEs)
E
Data Governance Technology Delivery Associate Director
Lead delivery of data governance technology projects across EY’s Global Data Stewardship Office, coordinating cross‑functional teams, managing budgets, and ensuring successful adoption and operational handover.
Locations (5)
Austin, Texas, United States
New York City, New York, United States
Boston, Massachusetts, United States
Washington DC, District of Columbia, United States
Sacramento, California, United States
Compensation
E
Data Product & Asset Governance Associate Director
Lead data product and asset governance across EY’s global data stewardship office, defining standards, workflows, and technical implementations to ensure trusted, discoverable, and reusable enterprise data assets.
Locations (7)
New York City, New York, United States
Boston, Massachusetts, United States
Washington DC, District of Columbia, United States
Washington, United States
California, United States
E
Data Governance Assurance & Stewardship Associate Director
Lead the design, operation, and continuous improvement of governance monitoring, assurance, and stewardship capabilities across EY’s Global Data Stewardship Office.
Compensation
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $180,000 to $324,000 Bay Area California offices – $187,500 to $337,500 All other offices locations in the US, including Sacramento – $150,000 to $297,000
Responsibilities
Design and operate governance monitoring, evidence and stewardship capabilities
Translate governance requirements into indicator and evidence models, dashboards, and workflows
Validate self-assessments and attestations, analyze risk and control indicators
Identify gaps, recommend remediation, and track closure
Define role profiles, competency expectations, and learning pathways
Requirements
Bachelor’s degree in data or information management, information systems, computer science, software or data engineering, business, risk, audit, accounting or related discipline
The Governance Capability Strategy & Modernisation Lead is a Director role within the Global Data Stewardship Office, combining enterprise data-governance strategy and portfolio leadership with practical technology implementation capability. The role defines EY’s governance capability strategy, target state and modernisation roadmap, translating business and user needs and approved policy, risk and regulatory requirements into operating-model designs, implementation-ready requirements and reusable governance patterns.
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $180,000 to $324,000 Bay Area California offices – $187,500 to $337,500 All other offices locations in the US, including Sacramento – $150,000 to $297,000
Responsibilities
Convert governance priorities into delivery plans
Facilitate discovery and requirements with business stakeholders
Develop integrated project plans, budgets, and resource allocations
Establish governance, reporting, and quality controls
Manage scope, schedule, risks, and vendor relationships
Requirements
Bachelor’s degree in business, information systems, computer science, engineering, data management, project management or equivalent
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $180,000 to $324,000 Bay Area California offices – $187,500 to $337,500 All other offices locations in the US, including Sacramento – $150,000 to $297,000
Responsibilities
Define governance models and standards for enterprise data products and assets
Establish governance baselines covering metadata, quality, lineage, and access
Design, configure, and validate workflows for data registration and onboarding
Translate business requirements into governance rules and metadata models
Coordinate testing, release, and operational handover of governance capabilities
Requirements
Bachelor’s degree in information systems, computer science, software or data engineering, data science, or equivalent professional experience
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $240,000 to $432,000
Bay Area California offices – $250,000 to $450,000
All other offices locations in the US, including Sacramento – $200,000 to $396,000
Responsibilities
Define and maintain the enterprise data-governance capability strategy, target state, design principles and multi-year modernisation roadmap
Assess current governance maturity and capability gaps across people, process, information, controls and technology
Design the target governance operating model, including accountabilities, decision rights, governance forums, service interactions and adoption measures
Translate business and user needs and approved policy, regulatory and risk requirements into implementation-ready business, functional and non-functional requirements, user stories and measurable acceptance criteria
Lead capability design across interdependent governance domains, including metadata, discovery and classification, lineage, data quality, lifecycle, privacy, access, data products and AI-ready data
Requirements
Bachelor’s degree in information management, information systems, computer science, software or data engineering, data science, engineering, business, risk or a related discipline, or equivalent relevant experience