Data Steward

Fa Ewjt Saasfaprod1 Open

Hybrid United States Full-time Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at Fa Ewjt Saasfaprod1. United States · full-time · no salary stated · we estimate $99,518–$156,000 across the United States.

Estimated pay

Fa Ewjt Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.

$99,518 – $156,000

What the middle half of mid-level data architecture & governance roles in the United States paid, among postings that did state a salary.

Worked out from 339 postings that stated pay, median $128,000. Last updated Nov 6, 2026.

RoleData Architecture & Governance

SeniorityMid-level

LocationUnited States

WorkplaceHybrid

EmploymentFull-time

PostedOct 5, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Set ownership, glossary, dictionary and metadata rules across enterprise data areas, including definitions for critical data elements
Track quality rules and thresholds, investigate data problems, and coordinate fixes with Data Engineering
Record sensitivity, access controls, privacy needs, retention and approved uses for PII and other sensitive assets
Trace business and technical data from source systems through pipelines into analytics products, maintaining lineage records
Set data-contract expectations and coordinate schema changes, versioning and accountability with modelers, engineers and product teams

What you bring

At least seven years in data governance, stewardship, quality or management
You understand metadata, lineage, data classification, access governance and privacy
You have built and monitored quality controls, KPIs and remediation processes, including profiling and root-cause work
You bring data-contract and schema-governance experience, plus SQL and familiarity with enterprise data platforms
You have used a governance catalog such as Databricks Unity Catalog, Collibra or another listed tool

Who this fits

This mid-level role suits someone who can shape governance practices and facilitate agreement across business, technical, risk, privacy and executive groups. The work is hybrid in the United States.

From the employer

This role will collaborate closely with Business, Data Product, Engineering, Privacy, and Cybersecurity teams to strengthen data ownership, standardize business definitions, improve data quality, manage data classification and lineage, and ensure effective data access governance and compliance.

Define and maintain data ownership, business glossaries, critical data elements (CDEs), data dictionaries, and metadata standards across enterprise data domains.
Establish and monitor data quality rules, controls, and thresholds; identify data issues and coordinate remediation efforts with Data Engineering teams.
Classify PII, confidential, and sensitive data assets, ensuring appropriate documentation of access controls, privacy requirements, retention policies, and approved usage guidelines.
Document and maintain end-to-end business and technical data lineage across source systems, data pipelines, and analytical data products.
Support governance activities for data modernization initiatives, including migration from legacy platforms to AWS and Databricks environments.
Facilitate cross-functional governance forums, driving alignment and resolution of data definition, ownership, and quality issues across business and technology teams.
Develop and implement governance policies, standards, processes, documentation, metrics, and reporting to promote consistent data management practices.
Define and enforce governance requirements for data contracts, including ownership, business definitions, data quality expectations, sensitivity classifications, lineage, and approved usage.
Partner with Data Modelers, Data Engineers, and Data Product teams to manage data contract lifecycle activities, including schema evolution, versioning, change management, and producer-consumer accountability.
Drive adoption of data governance best practices and foster accountability for data stewardship across business and technical stakeholder groups.

Qualifications (Required):

7+ years of experience in data governance, data stewardship, data quality, or data management.
Strong knowledge of metadata, lineage, data classification, access governance, and privacy.
Proven experience defining, implementing, and monitoring data quality rules, controls, KPIs, and remediation processes, including data profiling and root cause analysis.
Experience with data contracts, schema governance, data-quality SLAs, change management processes.
Working knowledge of SQL and modern enterprise data platforms, including cloud-based data lakes, warehouses, and analytics ecosystems.
Experience with catalog/governance tools like Databricks Unity Catalog, Collibra, Alation, or Informatica.
Strong communication, facilitation, and stakeholder management skills, with the ability to engage effectively with business, technical, risk, privacy, and executive stakeholders.
Ability to help shape a governance operating model, not only execute established processes.

Preferred Experience:
Experience with modern data platforms and cloud technologies, including Databricks, Unity Catalog, Delta Lake, and AWS.
Domain expertise in media, streaming, advertising, subscription, audience, customer, or consumer data environments.
Experience supporting large-scale data modernization and migration initiatives, including transitions from legacy platforms to cloud-based architectures.