Senior Data Engineer: Cloud Data Platform Architect

Steampunk

Bloomington (IL)

On-site

USD 125,000 - 165,000

Full time

5 days ago

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Job summary

Steampunk is seeking a Senior Data Engineer to design and implement enterprise-grade data platforms, pipelines, and services for clients. You will lead migrations, optimize ETL workflows, and collaborate across teams to deliver scalable data solutions in cloud environments.

This role requires strong communication with clients, deep data engineering expertise, and a passion for solving complex data problems.

Qualifications

Bachelor's degree required; 10+ years total experience.
5-7 years direct Data Engineering experience with Hadoop, Spark, Kafka and related big data stack.
Experience with relational and NoSQL databases, and data pipelines/workflow tools.
Hands-on cloud experience across AWS, Azure, or GCP.
Proficiency in data modeling, data warehousing, and data lake architectures.
Experience with data governance, lineage, and metadata management.
Strong programming skills in Python/Java/C++ and SQL optimization.
Experience with Agile development practices and client-facing delivery.

Responsibilities

Lead and architect migration of data environments focusing on performance and reliability.
Assess ETL jobs, workflows, BI tools, and reports; optimize data pipelines.
Answer technical inquiries on integration, enterprise architecture, and data products.
Design and develop DBs and warehouses in cloud environments (AWS/Azure/GCP).
Design, develop, and optimize scalable data solutions using Databricks.
Leverage Purview for data cataloging, lineage, and metadata management.
Support an Agile software development lifecycle.
Contribute to growth of Data Exploitation Practice.