Overview
Remote
On Site
Hybrid
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Data Governance
Identity Management
Cloud Computing
Collaboration
Workflow
KPI
Emerging Technologies
Data Management
Data Architecture
Stacks Blockchain
Databricks
Snow Flake Schema
Informatica
Unity
Lifecycle Management
RMF
Risk Management Framework
Artificial Intelligence
Meta-data Management
Access Control
RBAC
Regulatory Compliance
Job Details
Key Responsibilities
- Architect Governance Across Domains Design and implement governance strategies spanning data (e.g. data access, quality, lineage), platforms (e.g. pipelines, observability, service ownership), and AI (e.g. model transparency, bias detection, monitoring).
- Build Tooling and Automation Define and implement tooling for policy enforcement, access management, metadata tracking, AI explainability, and auditability. Tools may include Collibra, Informatica, Databricks Unity Catalog, custom APIs, or cloud-native policy engines.
- Create Reusable Patterns and Templates Develop modular governance blueprints reference architectures, reusable workflows, templates, and policy-as-code to accelerate delivery while ensuring compliance.
- Collaborate Across Product and Architecture
- Partner with platform architects, domain leads, data product owners, and legal/compliance to align governance and ethical principles and with business and regulatory needs.
- Work with enablement and platform teams to embed governance tools into developer workflows, empower stewards and analysts with self-service controls, and drive adoption of best practices.
- Establish KPIs and metrics to measure effectiveness of governance processes and tooling, and iterate based on platform maturity, business feedback, and risk profiles.
- Stay current with industry trends, emerging technologies, and best practices. Experiment with new tools and approaches to continuously improve the data Management ecosystem.
Requirements
- 8+ years of experience in data architecture, enterprise governance, platform engineering, or compliance technology
- Deep understanding of modern data stacks (e.g., Databricks, Snowflake, Informatica, Denodo) and governance platforms (e.g., Collibra, Alation, Unity Catalog)
- Familiarity with AI governance, including model lifecycle management, transparency, ethics, bias detection, and regulatory frameworks (e.g., NIST RMF, EU AI Act)
- Experience with metadata management, access control, lineage, quality frameworks, and enforcement techniques (policy-as-code, APIs, RBAC/ABAC)
- Strong systems thinking, with the ability to connect governance strategy to practical engineering constraints
- Effective communicator across business, engineering, and compliance audiences
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.