Data Manager

Base Pay Range

$75.00/yr - $75.00/yr

• Position:
  Data Manager
• Location:
  
  Charlotte, NC (Remote if prior Grant Thornton or Big 4 experience)
• Duration: 6+ months
• Reporting to:
  Data Engineering Lead

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field
• 8+ years of experience in data engineering, including:
• Data modeling, ETL/ELT, data integration, master/entity data management, data quality, data warehousing, analytics, business intelligence, data science, and governance
• Strong proficiency in Informatica and Snowflake
• Proficient in programming languages: C#, Python, SQL, Java
• Experience with Microsoft technologies: SQL Server, Synapse, Cosmos
  
  DB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric
• Experience with Informatica cloud technologies (CIH, DIH, CDGC, MDM, Data Quality)
• Clear and concise communication skills with ability to translate complex technical concepts for diverse audiences
• Strong critical and creative thinking skills; ability to analyze data, recognize trends, and advise on decisions
• Proactive problem‑solver who takes initiative, seeks efficiencies, and drives continuous improvement
• Flexible and able to prioritize and balance multiple work streams
• Values diversity, collaborates well, and demonstrates emotional intelligence and professionalism
• Builds a positive personal brand and shares knowledge

• Design, develop, and maintain data pipelines and infrastructure for data storage, processing, and analysis
• Extract, transform, and load (ETL) data from various sources into appropriate data storage systems
• Collaborate with architects, data scientists, AI engineers, and analysts to manage data assets and optimize models for quality, security, and governance
• Integrate data from databases, data warehouses, APIs, and external systems
• Ensure data consistency, integrity, and perform validation/cleaning as needed
• Transform raw data using cleansing, aggregation, filtering, and enrichment techniques
• Optimize workflows for performance, scalability, and efficiency
• Monitor and tune data systems to resolve bottlenecks and enhance query performance
• Implement data quality checks and validations in pipelines
• Take responsibility for leveraging enterprise data assets to provide insights for decision‑making and business success

• Certifications in relevant technologies (Informatica, Snowflake, Microsoft, etc.)
• Previous experience in professional services or accounting industry
• Prior client service or consultative experience
• Experience in managed services provider environment

• Submission must include 2 professional references

Mid‑Senior level

Full‑time

Information Technology