Senior Database Engineer

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.