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Senior Database Engineer

United IT

Senior Data Engineer

Location: Richardson, TX (Hybrid T/W/TH)

We are seeking a highly skilled and experienced Senior Data Engineer to lead the design and development of scalable, secure, and high-performance data platform solutions. This role will be instrumental in shaping the architecture and engineering practices for our enterprise data ecosystem, supporting both B2B and B2C domains.

Key Responsibilities:
  • Architect and implement cloud-native and cloud-agnostic data platforms using technologies such as Snowflake, Azure, and AWS Redshift.
  • Lead the design and development of reusable, scalable data products, ensuring high data quality and integrity.
  • Build and optimize ETL/ELT pipelines using tools like DBT, Apache Airflow, ADF, SnapLogic, and Matillion.
  • Integrate data from CRM and ERP systems (e.g., Salesforce, PeopleSoft, SAP) and various structured/unstructured sources.
  • Develop modern APIs for secure data sharing across internal and external applications.
  • Design and maintain relational and dimensional data models using tools like Erwin and SQL Workbench.
  • Implement data governance frameworks, including metadata management, data profiling, and validation.
  • Collaborate with cross-functional teams to align data engineering efforts with business goals and analytics needs.
  • Support CI/CD pipelines using Jenkins, Azure DevOps, and GitHub for automated deployment and testing.
  • Apply Python for data manipulation, automation, and orchestration tasks.
  • Contribute to machine learning workflows and model deployment strategies.
Required Qualifications:
  • Bachelor’s degree in information systems, Computer Science, Mathematics, or a related field.
  • 8+ years of hands-on experience in data engineering and platform architecture.
  • Proven expertise in ETL/ELT, data warehousing, data lake houses, and data governance.
  • Strong proficiency in cloud platforms (AWS, Azure) and Agile/DevOps methodologies.
  • Experience with data orchestration tools (e.g., Airflow, Chronos) and transformation models in DBT.
  • Excellent communication, problem-solving, and analytical skills.
  • Demonstrated experience in advanced SQL for data extraction, transformation, and analytics is essential.
  • Hands-on expertise in managing complex data operations to ensure data reliability, scalability, and compliance across environments.
  • Solid understanding and practical experience in data governance frameworks, with direct proficiency in Collibra or comparable platforms for data cataloging, stewardship, and policy enforcement.
Preferred Skills:
  • Experience with Precisely, OpenFlow, or similar metadata and governance tools.
  • Familiarity with BI platforms and data visualization tools.
  • Understanding of statistical analysis and conceptual/logical data modeling.
Scope of the Project:
  • This role will work closely with the Data Modeler.
  • This role will be instrumental in shaping the architecture and engineering practices for our enterprise data ecosystem, supporting both B2B and B2C domains.
Must Have Skills:
  • Total 8+ years with bachelor’s degree.
  • ETL experience.
  • Data warehousing.
  • Data Lakes.
  • Data coordinates.
Nice to have skills:
  • Experience with Precisely, OpenFlow, or similar metadata and governance tools.
  • Familiarity with BI platforms and data visualization tools.
  • Understanding of statistical analysis and conceptual/logical data modeling.
Soft Skills:
  • Strong proficiency in cloud platforms (AWS, Azure) and Agile/DevOps methodologies.
  • Snowflake.
Vacancy posted more than 2 months ago

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