Data Steward
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Job Location:
Montgomery, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Must relocate and be onsite day 1
All visas welcomed
Virtual interviews
Location: Must be onsite Montgomery AL
Duration: 6 -12 month contract that can extend
Position: Data Steward
Establish advance and mature data quality and governance capabilities in a green-field low-maturity data environment. Support enterprise analytics BI and AI/ML readiness through SQL/ETL engineering data profiling validation stewardship metadata management and early-stage data architecture. Drive long-term improvement of data standards definitions lineage and quality processes.
Key Responsibilities
Perform data audits profiling validation anomaly detection and quality gap identification.
Develop automated data quality rules and validation logic using T-SQL SQL Server stored procedures and indexing strategies.
Build and maintain SSIS packages for validation cleansing transformation and error-detection workflows.
Troubleshoot ETL/ELT pipelines data migrations integration failures and data load issues.
Conduct root-cause analysis and implement preventive and long-term remediation solutions.
Optimize SQL queries tune stored procedures and improve data processing performance.
Document audit findings validation processes data flows standards and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Required Technical Skills
Advanced T-SQL SQL Server development debugging and performance tuning.
SSIS development deployment and troubleshooting.
Data profiling validation rule design quality scoring and measurement techniques.
ETL/ELT pipeline design debugging and optimization.
Data modeling (conceptual logical physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI Tableau or similar tools.
Strong documentation and communication skills.
Preferred Skills
Knowledge of DAMA-DMBoK DCAM MDM concepts and governance frameworks.
Experience in low-maturity/green-field data environments.
Familiarity with AI/ML data readiness and feature-store-aligned data structuring.
Cloud data engineering exposure (Azure Databricks GCP).
Data Stewardship & Governance
Define maintain and enforce data quality standards business rules data definitions and governance policies.
Monitor datasets for completeness accuracy timeliness consistency and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries data dictionaries metadata repositories and lineage documentation.
Partner with IT data engineering and business teams to support governance initiatives and compliance requirements.
Provide training on data entry data handling stewardship practices and data literacy.
Collaborate with cross-functional teams to identify recurring data issues and recommend preventive solutions.
Green-Field / Low-Maturity Environment
Architect initial data quality frameworks validation layers governance artifacts and ingestion patterns.
Establish scalable data preparation workflows supporting analytics BI and AI/ML readiness.
Mature data quality and governance processes from ad-hoc to standardized automated and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long-term evolution of enterprise data strategy and governance maturity.
