Jobs via Dice

Data Steward

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Steward in Montgomery, AL, for a 6-12 month contract. Key skills include T-SQL, SQL Server, SSIS, data governance, and BI tools like Power BI/Tableau. Experience in low-maturity data environments is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Montgomery, AL
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🧠 - Skills detailed
#AI (Artificial Intelligence) #SQL Server #Data Profiling #SQL Queries #MDM (Master Data Management) #Data Lineage #Metadata #Azure #Data Modeling #SSIS (SQL Server Integration Services) #ML (Machine Learning) #Microsoft Power BI #Scala #Anomaly Detection #Cloud #Data Migration #"ETL (Extract #Transform #Load)" #Migration #Azure Databricks #Documentation #Strategy #Tableau #BI (Business Intelligence) #Data Stewardship #Compliance #Indexing #Data Processing #Data Governance #Data Quality #Data Strategy #GCP (Google Cloud Platform) #Data Engineering #Debugging #Data Architecture #Data Management #SQL (Structured Query Language) #Databricks
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Stellent IT LLC, is seeking the following. Apply via Dice today! Role: Data Steward Location: Montgomery, AL (Onsite from Day 1 ) Duration: 6 12 Months Contract (possible of extension) Interview Mode: Virtual Job Overview Client is urgently seeking a Data Steward to establish and mature data quality and governance capabilities in a green-field, low-maturity data environment. This role will play a critical part in enabling enterprise analytics, BI, and AI/ML readiness through hands-on work in SQL/ETL engineering, data validation, governance, and data architecture. Key Responsibilities • Perform data audits, profiling, validation, anomaly detection, and identify data quality gaps • Develop automated data quality rules using T-SQL, SQL Server, stored procedures, and indexing strategies • Build and maintain SSIS packages for data validation, cleansing, transformation, and error detection • Troubleshoot ETL/ELT pipelines, data migrations, and integration failures • Conduct root cause analysis and implement long-term remediation solutions • Optimize SQL queries and improve overall data processing performance • Document audit findings, data flows, validation processes, and standards • Develop dashboards and reports for data quality KPIs using Power BI/Tableau Required Technical Skills • Strong expertise in T-SQL & SQL Server development (debugging & performance tuning) • Hands-on experience with SSIS (development & troubleshooting) • Data profiling, validation rule design, and quality measurement techniques • Experience in ETL/ELT pipeline design and optimization • Knowledge of data modeling (conceptual, logical, physical) • Experience with metadata management and data lineage documentation • Reporting/dashboarding using Power BI, Tableau, or similar tools • Strong documentation and communication skills Preferred Skills • Knowledge of DAMA-DMBoK, DCAM, MDM, and data governance frameworks • Experience working in green-field / low-maturity data environments • Exposure to AI/ML data readiness and feature-store concepts • Cloud experience with Azure, Databricks, or Google Cloud Platform Data Stewardship & Governance Responsibilities • Define and enforce data quality standards, business rules, and governance policies • Monitor data for accuracy, completeness, consistency, and compliance • Maintain data dictionaries, business glossaries, and metadata repositories • Ensure consistent data usage across departments • Collaborate with IT, data engineering, and business teams for governance initiatives • Provide training on data handling and stewardship best practices • Identify recurring data issues and recommend preventive solutions Environment & Impact • Work in a green-field environment to build data governance from scratch • Establish scalable data quality frameworks and validation layers • Transition processes from ad-hoc to automated and measurable systems • Drive enterprise-wide adoption of data governance practices • Support long-term data strategy and organizational data maturity Email- Phone Number : +1 321 7856 062 STELLENT IT A Nationally Recognized Minority Certified Enterprise "Happiness can be found, even in the darkest of times, if one only remembers to turn on the light." • JK Rowling