AI and Data Governance Engineer

Holland & Knight LLP

AI and Data Governance Engineer at Holland & Knight implementing technology for data governance. Responsible for managing data catalogs, quality tools, and compliance in major U.S.

Posted 5/22/2026full-timeWashington, D.C. • District of Columbia, Texas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $149,000 - $223,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryInformaticaSQL

About the role

Key responsibilities & impact

Serve as primary administrator for: Data catalog (Atlan): users, roles, workspaces, integrations, policies
Data quality / observability tool (Monte Carlo): monitors, alerts, integrations
Manage configuration, upgrades, and maintenance in partnership with vendors.
Monitor system health, performance, and usage.
Integrate governance tools with key data platforms (e.g., data warehouse/lake, BI tools, orchestration platforms, source systems).
Develop and maintain pipelines to: Synchronize metadata into the data catalog.
Configure and optimize Monte Carlo for: Freshness, volume, and schema checks
Provide hands-on support to users of Atlan, Monte Carlo, and other governance tools.
Evaluate and support adoption and integration of any future AI governance tools (e.g., for model registry, lineage, risk controls, and policy enforcement).

Requirements

What you’ll need

Hands-on experience with at least one of the following (or similar): Data catalog: Atlan, Collibra, Alation, Informatica, etc.
Data quality / observability: Monte Carlo, Soda, Great Expectations, etc.
Strong SQL skills and solid understanding of modern data platforms (data warehouses/lakes, e.g., Snowflake, Databricks, BigQuery, Redshift, Synapse, etc.).
Experience integrating tools using APIs, SDKs, or event-based approaches.
Familiarity with data governance concepts: data ownership, stewardship, lineage, business glossary, classifications, access controls.
Strong communication skills and ability to translate technical configurations into clear workflows and documentation.
Proficient in Microsoft Office Suite, or Microsoft 365.
Bachelor’s degree
3+ years of experience in data engineering, data platform administration, or similar technical role.
Experience administering Atlan and/or Monte Carlo specifically.
Experience with: Master data management (MDM) tools and concepts AI / ML governance, model registries.
Background supporting or participating in a formal data governance program (council, domain stewards, policy rollout, etc.).
Familiarity with security and compliance frameworks related to data (e.g., data masking, RBAC/ABAC, least privileged access).
Experience working in a regulated or data-sensitive industry (e.g., financial services, legal, healthcare, or public sector).

Benefits

Comp & perks

comprehensive medical (PPO and HDHPs), dental and vision plans including coverage for domestic partners
life and AD&D insurance
short and long term disability insurance
tax-advantaged accounts for health care expenses, including FSAs and HSAs
FSAs for dependent care
health advocacy services
behavioral health and counseling resources for all family members
401(k)
profit sharing
backup dependent care
senior care planning support
resources for individuals with development disabilities and their caregivers
paid holidays and other paid time off, including paid leave for new parents

ATS Keywords

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Hard Skills & Tools

SQLdata catalogdata qualitydata observabilitydata governancemetadata synchronizationAPI integrationSDK integrationdata managementAI governance

Soft Skills

strong communicationtechnical documentationworkflow translation

Certifications

Bachelor's degree