Senior Data Engineer: Enterprise Data Architect & Analytics

Socket.dev; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Socket.dev is seeking a senior data engineer in Atlanta to design and implement scalable data pipelines, data models, and end-to-end analytics architectures. You will lead advanced data engineering and solution design across healthcare domains, enabling self-service analytics and enterprise reporting.

You will collaborate with stakeholders to ensure data governance, security, and performance in cloud environments, with 8+ years of experience in data engineering and strong BI tooling expertise.

Qualifications

• Bachelor's or Master's degree in CS/Engineering or related field.
• 8+ years of data engineering experience with governance focus.
• Experience designing scalable enterprise data architectures.
• Knowledge of data lakes, warehouses, and semantic modeling.

Responsibilities

• Architect scalable data pipelines for structured and unstructured data.
• Design end-to-end data solutions (Data Lake/Warehouse/Data Mart).
• Lead data governance, lineage, and metadata practices.
• Develop Power BI semantic models and dashboards for stakeholders.
• Implement data security measures and RSI concepts where applicable.
• Collaborate with business users to translate requirements into analytics architectures.
• Optimize performance with partitioning, indexing, and compression strategies.

Skills

8+ years data engineering

Dimensional modeling

Data governance

MLOps / AI data pipelines

Cloud data platforms (AWS)

Python / SQL / PySpark

Power BI semantic models

DAX measures

Tableau (plus)

Data Lakes / Data Warehouses

Education

Bachelor's or master's in CS/Engineering/related

Tools

AWS Glue Data Catalog

AWS SageMaker

Databricks

AWS Redshift

S3 / EMR / Lambda

Azure Synapse

Erwin

SQL Data Modeler

Power BI

Power Query

Tableau

Job description

Socket.dev is seeking a senior data engineer in Atlanta to design and implement scalable data pipelines, data models, and end-to-end analytics architectures. You will lead advanced data engineering and solution design across healthcare domains, enabling self-service analytics and enterprise reporting.

You will collaborate with stakeholders to ensure data governance, security, and performance in cloud environments, with 8+ years of experience in data engineering and strong BI tooling expertise.