Principal, Data Engineering

Job Summary

The Principal Data Engineering job provides thought leadership in the execution of strategic plans related to design development and maintenance of robust data systems. As a recognized subject matter expert in the field this jobleadsthe development of efficient processing and availability of data for analysis and reporting.

Essential Functions

• DATA PIPELINES: Provides thought leadership on the design and development of data pipelines thatfacilitatethe movement of data from various sources to internal databases.
• DATA INFRASTRUCTURE: Influences the construction and optimization of data infrastructure providingappropriate dataformats to ensure data readiness for analysis.
• DATA FORMATS: Examines and sees improvement opportunities forappropriate dataformats tooptimizedata usability and accessibility across the organization.
• STAKEHOLDER MANAGEMENT: Cultivates positive relationships and partners to understand data needs and encourage alignment with organizationalobjectives.
• DATA SYSTEMS: Develops and guides the implementation of data products and solutions using advanced engineering and cloud-based technologies ensuring they are designed and built to be scalable sustainable and robust.
• SOLUTIONS DEVELOPMENT: Leads efforts to improve the development of technical products and solutions driving big data and cloud-based technologies ensuring they are designed and built to be scalable sustainable and robust.
• DATA FRAMEWORKS: Drives development standards and brings forward prototypes to test new data framework concepts and architecture patterns supporting efficient data processing and analysis and promoting standard methodologies in data management.
• AUTOMATED REPORTING SYSTEMS: Builds automated reporting systems thatprovidetimelyinsights andfacilitatedata driven decision making.
• DATA MODELING: Provides thought leadership on data modeling and preparation of data in databases for use in various analytics tools and to develop data pipelines to move and improve data assets.

Qualifications

• Minimumrequirementof6 years of relevant work experience. Typically reflects 10 years ormore ofrelevant experience.

Preferred Qualifications:

• ARCHITECTURAL LEADERSHIP: Defines long-term technical directionestablishesbest practices and ensures solutions are scalable maintainable and aligned with enterprise strategy.

• OPERATIONAL EXCELLENCE MINDSET:Championsreliability observability and performance ensuring data systems meethigh standardsfor availability and quality.

• STRATEGIC DECISION MAKING:Evaluates competing priorities such as speed cost risk and flexibility to make sound technical and architectural decisions.

• CLOUD DATA PLATFORMS:deepexpertiseimplementing cloud-based data warehouses data lakes and open table formats in large-scale production environments. Has hands-on experiencewith technologies such as Snowflake AWS and openlake houseecosystems.

• DATA INGESTION:Demonstratedproficiencyin data collection ingestion tools (Kafka AWS Glue) and storage formats (Iceberg Parquet)

• DATA STREAMING: Experience developing data pipelines with streaming architectures and tools (Kafka Flink).

• DATA TRANSFORMATION: Strongbackground withusing Spark for data transformation including streaming performance tuning and debugging with Spark UI.

• DEVOPS: Extensive experience in DevOps practices including code management CI/CD and deployment strategies.

This role is located in our Atlanta GA office. The business will not sponsor applicants for work visas for this position.

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