Remote Cloud Data Platform Engineering Lead

Husch Blackwell; Chattanooga (TN); Hybrid; Confidential; Full time

Benefits offered by this job

Medical and dental coverage

Life insurance

Disability insurance

Pre-tax flexible spending account

Retirement plan

Paid Time Off

Paid holidays

Job summary

Husch Blackwell is seeking a Data Engineering Manager to lead the design and build-out of a cloud-based data platform, enabling analytics, reporting, applications, and AI. You will set standards for data engineering, coordinate teams, and ensure data quality, governance, and security across the firm.

You will supervise data engineers, drive scalable data solutions, and partner with Data Science, IT, and business leaders to translate needs into reliable data products.

Qualifications

• Bachelor’s degree in computer science, engineering, information systems, or related field, or equivalent industry experience; graduate degree preferred.

Responsibilities

• Supervise Data Engineering staff and foster growth.
• Lead design/implementation of cloud-based data platform from ground up.
• Ensure data quality, lineage, documentation, and access controls.
• Collaborate with Data Science, AI, and IT teams to meet analytics needs.
• Define and promote engineering standards for reliable data products.
• Manage projects with scope, timelines, risks, and dependencies.
• Build scalable, secure data pipelines and platforms.

Skills

SQL

Python

Cloud platforms (Azure/AWS)

Data governance

Stakeholder collaboration

Data modeling

ETL/Data integration

Leadership & mentoring

Education

Bachelor’s degree in CS/Engineering/IS or related field

Graduate degree preferred

Tools

SQL-based data warehouses

Data visualization tools

ETL tooling

Git/version control

Job description

Husch Blackwell is seeking a Data Engineering Manager to lead the design and build-out of a cloud-based data platform, enabling analytics, reporting, applications, and AI. You will set standards for data engineering, coordinate teams, and ensure data quality, governance, and security across the firm.

You will supervise data engineers, drive scalable data solutions, and partner with Data Science, IT, and business leaders to translate needs into reliable data products.