Mid-Senior Level Data Engineer w/ Data Governance Experience | Salary + Bonus | Hybrid Position[...]

Integris Group; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive base salary

Performance bonus

Medical, dental, and vision benefits

Generous PTO

401(k) with company match

Job summary

A data solutions firm in New York seeks a Mid-Senior Level Data Engineer with a strong emphasis on Data Governance. The role involves designing governance frameworks, implementing access controls, and collaborating with various stakeholders. Ideal candidates possess 5–10 years of relevant experience, including enforcing data governance frameworks. The position is hybrid, with 4 days onsite in NYC. Competitive salary, performance bonuses, and comprehensive benefits are offered to support employee growth and career advancement.

Qualifications

• 5–10+ years in Data Engineering, Data Governance, or Enterprise Data Management.
• Demonstrated experience implementing Data Governance Frameworks with actual enforcement.
• Strong knowledge of PHI, access management, and data classification.
• Experience in regulated industries (Healthcare/Finance) and on-site NYC work.

Responsibilities

• Design and implement Governance frameworks for data access.
• Establish policies around PHI classification and data sensitivity.
• Implement role-based access controls and collaborate with InfoSec.
• Partner with data engineering teams to align governance with ingestion and transformation processes.
• Support data monetization and enterprise data platform initiatives.

Skills

Data Governance

Access Management

Data Classification

Metadata Management

Hybrid NYC work

Healthcare/Finance domain experience

Tools

Snowflake

Job description

Position Title: Mid-Senior Level Data Engineer w/ Data Governance experience

Location: New York City (Hybrid – 4 Days Onsite / 1 Day Remote)

Employment Type: Full-Time / Permanent

Compensation: Competitive Base Salary + Bonus + Full Benefits

About the Role

Our client is seeking a Mid-to-Senior Level Data Engineer / Data Governance / Enterprise Data Management who possesses a strong background and genuine passion for Data Governance to join a growing enterprise data team in New York City.

This is NOT a traditional pipeline builder role!! While modern data engineering skills are important, the primary focus of this position is data governance, access control, data stewardship, and responsible data enablement across a complex, multi-institutional environment.

The organization is actively integrating data across 3-major institutions and each of them have different standards, access rules, risk tolerances, and definitions of sensitive data.

Governance is what makes this integration safe, scalable, and strategic. The team is embarking on a Data Monetization program, and Governance will be the foundation that determines what data can be used, by whom, and under what controls.

What You’ll Be Responsible For

Data Governance & Stewardship (Primary Focus)

• Design and implement Governance frameworks that define who can access what data — and why.
• Establish policies around PHI classification, data sensitivity tiers, and domain-based access.
• Partner with security, compliance, and business leaders to align governance controls with regulatory and operational needs.
• Define data lineage, ownership, stewardship, and accountability models.

Help answer critical questions such as:

• Who should see what data?
• What level of PHI is appropriate per domain?
• How do we harmonize policies across historically independent institutions?

Access Control & Risk Mitigation

• Implement role-based and attribute-based access controls.
• Ensure proper separation of sensitive datasets.
• Collaborate with InfoSec and Compliance Teams to minimize risk exposure.
• Prevent governance gaps that could create liability in a unified data platform.

Platform Collaboration (Secondary Focus)

• Work with Data Engineers to align governance with ingestion and transformation processes.
• Ensure data products are compliant by design.
• Contribute to scalable governance models within Snowflake and other modern data platforms.

Required Experience

• 5–10+ years in Data Engineering, Data Governance, or Enterprise Data Management
• Demonstrated experience implementing Data Governance Frameworks, not just documentation but actual enforcement.

Strong experience with

• Data Classification
• PHI (Protected Health Information / HIPAA-aligned controls)
• Access Management
• Metadata Management
• Experience working in complex, regulated environments such as Healthcare or Finance
• Comfortable working onsite in NYC 4 days per week (Hybrid Model)

Snowflake & Tooling

• Snowflake experience is a nice-to-have, but not a blocker
• Exposure to Snowflake or similar modern cloud data warehouses is preferred
• The ideal candidate is not intimidated by Snowflake and understands how governance is implemented within modern cloud platforms
• This is fundamentally a Data Governance-focused role, not a Snowflake tuning position.

Why Join

• Competitive base salary plus performance bonus.
• First-class medical, dental, and vision benefits.
• Generous PTO.
• 401(k) with company match.
• Career growth within a rapidly expanding enterprise data organization.
• Opportunity to help shape governance strategy during a transformative data integration initiative.