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About the Role

Lead the design and build-out of the firm’s cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality data is available for analytics, reporting, applications, and AI. Architect core systems to collect, consolidate, and organize data efficiently, making it accessible and well-documented for downstream teams. Ensure the platform supports current and future needs, set standards for data engineering methods and product reliability, and coordinate teams to deliver trustworthy and secure data products.

Responsibilities

Supervise all Data Engineering staff persons.
Foster professional growth and skill development in direct reports.
Delegate tasks and responsibilities effectively.
Conduct regular performance evaluations, provide constructive feedback, and set clear goals for direct reports.
Promote team engagement through regular communication, recognition, and a collaborative, inclusive environment.
Identify training and development opportunities to keep team capabilities current with modern data engineering practices and cloud technologies.
Provide technical and architectural leadership for the firm’s data platform, with a primary focus on building and operating modern, cloud based data foundations.
Define and promote best practices for data engineering across the firm, including standards for code quality, testing, deployment, monitoring, and documentation.
Design, implement, and maintain reliable processes for acquiring, consolidating, and organizing data from core systems and external sources, and making it available for downstream use.
Ensure that data engineering solutions are scalable, maintainable, and reliable, including management of performance, availability, and capacity risks.
Partner with Data Science & AI, Information Design & Engineering, IT Operations, and business leaders to understand challenges and translate them into data requirements and platform improvements.
Contribute to data and AI governance by implementing and enforcing controls for data quality, lineage, access, and responsible use within the data platform.
Lead the planning, deployment, and ongoing management of data engineering initiatives and related projects.
Evaluate and prioritize data engineering work based on firm needs, strategic value, and available capacity.
Manage and document projects, including scope, timelines, risks, dependencies, and key decisions.
Establish and maintain effective relationships with key technology vendors and service providers that support the data platform.

Requirements

Bachelor’s degree in computer science, engineering, information systems, or related field, or equivalent industry experience; graduate degree preferred.
At least 3–5 years of experience leading data engineering or closely related technical teams, including responsibility for setting direction, standards, and priorities.
Experience managing budgets and making cost conscious decisions about tools, platforms, and services.
Strong understanding of modern data engineering practices, including data ingestion, consolidation, transformation, and organization to support analytics and AI.
Extensive experience with data management and data transformation, including performance, reliability, and scalability considerations.
Advanced SQL experience and strong understanding of how to design and optimize data structures in relational and other data storage technologies.
Experience designing and managing data solutions in modern cloud environments (for example, Microsoft Azure or Amazon Web Services), including use of platform services.
Working knowledge of Python and common data tooling, with sufficient depth to review designs and solutions produced by engineers and to engage effectively with Data Science & AI teams.
Demonstrated experience collaborating with data scientists, analysts, and AI practitioners, and understanding how engineering choices affect downstream analytics and AI work.
Broad familiarity with data visualization, reporting, and application needs so that data platforms are designed with end to end use in mind.
Extensive experience with software development life cycle and software engineering best practices, including version control, testing, deployment, monitoring, and secure handling of data.
Ability to define and implement data and platform standards, and to guide teams in adopting consistent, high quality engineering practices.

Skills

Data Engineering
Cloud-based data platform design
Data infrastructure
Data analytics
Reporting
AI
Data collection
Data consolidation
Data organization
Data documentation
Data governance
Privacy and security requirements
User-friendly system design
Experimentation
Technical communication
Non-technical communication
Modern data engineering practices
Cloud technologies
Code quality
Testing
Deployment
Monitoring
Scalability
Maintainability
Reliability
Performance management
Availability management
Capacity risk management
Data quality
Data lineage
Access control
Responsible data use
Project planning
Project deployment
Project management
Vendor management
SQL
Data structures
Relational databases
Data storage technologies
Microsoft Azure
Amazon Web Services
Python
Data visualization
Software development life cycle
Software engineering best practices
Version control
Secure data handling

Location

Remote
Hybrid
Central Time locations
Eastern Time locations
Mountain Time locations

Work Type

Remote
Hybrid

Experience Level

3-5 years of experience leading data engineering or closely related technical teams

Education Level

Bachelor’s degree in computer science, engineering, information systems, or related field, or equivalent industry experience
Graduate degree preferred

Salary/Compensations

State of Colorado: $121,000 - $215,000
State of Illinois: $119,000 - $230,000
State of Maine: $89,000 - $206,000
State of Maryland: $127,000 - $193,000
State of Massachusetts: $131,000 - $251,000
State of Minnesota: $131,000 - $217,000
Jersey City, NJ: $143,000 - $258,000
State of New York: $122,000 - $264,000
State of Vermont: $130,000 - $249,000
State of Virginia: $85,000 - $249,000
State of Washington: $127,000 - $242,000
Washington, D.C.: $169,000 - $249,000

Benefits

Medical and dental coverage
Life insurance
Short-term and long-term disability insurance
Pre-tax flexible spending account for certain medical and dependent care expenses
Employee assistance program
Paid Time Off
Paid holidays
Participation in a retirement plan program after meeting eligibility requirements

About the Company

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.
At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes.
Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences.
We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.
Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation.
The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems that transform data into actionable insights for better legal work.
Projects are collaborative and fast-paced.

Equal Opportunity

EOE/Minority/Female/Disabled/Vet.