Principal Data Engineer

INFOSYS NOVA HOLDINGS LLC is hiring a Principal Data Engineer to help design, build, and maintain scalable data solutions for enterprise data engineering and analytics initiatives. This onsite role supports complex data environments where reliability, performance, and governance are central to the platform.

In this position, you will work across modern cloud and warehouse technologies to deliver data pipelines, integrations, and transformations that enable analytics at scale. The work spans AWS services, Snowflake, ETL/ELT development, and data quality and lineage processes.

What you’ll do

• Design, develop, and optimize scalable data pipelines and data integration solutions.
• Develop and maintain data architectures for enterprise data warehouses, data lakes, and analytics platforms.
• Build and optimize ETL/ELT processes using modern data engineering tools and technologies.
• Develop solutions using AWS services including S3, Lambda, and DynamoDB.
• Design and implement data solutions in Snowflake and other cloud-based data environments.
• Create and maintain data models, including Data Vault modeling methodologies.
• Write and optimize complex SQL and Python code for data processing and integration.
• Use dbt to develop, transform, test, and manage data workflows.
• Support data replication and integration using tools such as Qlik Replicate.
• Work with enterprise data platforms including IBM InfoSphere DataStage and CP4D.
• Develop and integrate APIs to support enterprise data and application needs.
• Establish and maintain data quality, governance, metadata management, and data lineage processes.
• Collaborate with engineering, architecture, analytics, and business teams to translate requirements into scalable data solutions.
• Troubleshoot performance, data quality, and integration issues across complex data environments.
• Provide technical leadership and guidance on data engineering architecture and best practices.

Required qualifications

• Strong experience in data engineering and enterprise data environments.
• Hands-on experience with AWS, particularly S3, Lambda, and/or DynamoDB.
• Strong experience with Snowflake and cloud data warehousing.
• Advanced skills in Python and SQL development.
• Experience developing ETL/ELT and data integration solutions.
• Experience with data warehousing and data modeling, including Data Vault.
• Experience with dbt or similar modern data transformation frameworks.
• Experience with data quality, governance, metadata management, and data lineage.
• Strong understanding of relational and non-relational databases.
• Experience with enterprise data integration platforms and tools.
• Ability to work independently while providing technical leadership to other engineers.

Technologies

• AWS, S3, Lambda, DynamoDB, Snowflake, Python, SQL
• ETL/ELT, Data Vault, dbt, Qlik Replicate
• IBM InfoSphere DataStage, CP4D, APIs
• Git, DevOps, NoSQL

Location and work arrangement

• Onsite work in Charlotte, NC / Detroit, MI, with regular client site attendance.

Job type

• Full-Time

Preferred qualifications

• Experience with Qlik Replicate.
• Experience with IBM InfoSphere DataStage.
• Experience with IBM CP4D.
• Experience developing and integrating APIs.
• Experience with NoSQL databases.
• Experience working with Git and DevOps practices.
• Experience in large-scale enterprise environments.
• Strong communication and cross-functional collaboration skills.

Authorization to work: Applicants must be authorized to work for any employer in the U.S. INFOSYS NOVA HOLDINGS LLC is unable to sponsor or take over sponsorship of an employment Visa at this time.