Managing Consultant, Databricks Data Engineering Lead

Guidehouse; San Antonio (TX); On-site; USD 130,000 - 216,000; Full time

Benefits offered by this job

Health insurance

Paid holidays

Bonus eligible

Parental leave

401(k) plan

Life insurance

HSA/FSAs

Disability insurance

Student loan assistance

Tuition reimbursement

Learning opportunities

Employee referrals

Mobility stipend

Job summary

Guidehouse is seeking a senior Data Engineer to lead Databricks data engineering and DataOps delivery across ingestion, transformation, and migration patterns. You will translate requirements into scalable designs and govern data products while mentoring junior engineers.

In this client-facing role, you will set coding standards, oversee CI/CD, and drive performance, security, and operational stability across complex data solutions.

Qualifications

• Bachelor’s degree from an accredited university.
• Minimum SIX (6)+ years of experience.
• Experience in data engineering, ETL/ELT, cloud data platforms, software development, or analytics engineering.
• Hands-on experience designing and developing production Databricks solutions using Apache Spark, PySpark, Python, SQL, Delta Lake, notebooks, workflows, and jobs.
• Experience building scalable batch data pipelines and reusable ingestion, transformation, and orchestration frameworks.
• Experience with enterprise data migration, source-to-target mapping, data conversion, reconciliation, validation, and defect remediation.
• Experience implementing data-quality controls, metadata capture, lineage, logging, monitoring, and technical auditability.
• Experience with Git-based development, automated testing, CI/CD, release management, and production stabilization.
• Experience leading data engineers and delivering complex data solutions in a client-facing environment.
• Ability to obtain and maintain a Federal Public Trust.

Responsibilities

• Lead Databricks data engineering and DataOps delivery across ingestion, transformation, orchestration, migration, integration, serving, and consumption patterns.
• Translate architecture, data models, mappings, data contracts, and migration requirements into scalable technical designs and delivery plans.
• Design and develop reusable pipelines, migration utilities, transformation frameworks, data-quality controls, reconciliation routines, and governed data products.
• Establish standards for coding, testing, CI/CD, deployment, observability, logging, error handling, performance, security, and operational support.
• Lead engineering reviews and troubleshoot Databricks job failures, pipeline bottlenecks, data-quality issues, and performance problems.
• Support batch and, where applicable, streaming data-processing patterns using Databricks, Apache Spark, and Delta Lake.
• Coordinate technical delivery with data architects, source-system teams, integration engineers, security specialists, governance leads, testing teams, and business stakeholders.
• Lead technical estimates, capacity planning, backlog refinement, sprint execution, release readiness, and stabilization activities.
• Mentor data engineers and ensure reusable code, design patterns, runbooks, and lessons learned are adopted across later modernization waves.
• Communicate technical decisions, risks, dependencies, and delivery impacts to client and program leadership.

Skills

Databricks

Apache Spark

PySpark

Python

SQL

Delta Lake

Notebooks

Workflows

Jobs

Data Engineering

ETL/ELT

Education

Bachelor's degree

Tools

Git

Azure DevOps

GitHub Actions

Jenkins

Terraform

Unity Catalog

Delta Live Tables

Databricks Workflows

Job description

Job Family:

Data Science Consulting

Travel Required:

Up to 25%

Clearance Required:

Ability to Obtain Public Trust

What You Will Do

• Lead Databricks data engineering and DataOps delivery across ingestion, transformation, orchestration, migration, integration, serving, and consumption patterns.
• Translate architecture, data models, mappings, data contracts, and migration requirements into scalable technical designs and delivery plans.
• Design and develop reusable pipelines, migration utilities, transformation frameworks, data-quality controls, reconciliation routines, and governed data products.
• Establish standards for coding, testing, CI/CD, deployment, observability, logging, error handling, performance, security, and operational support.
• Lead engineering reviews and troubleshoot Databricks job failures, pipeline bottlenecks, data-quality issues, and performance problems.
• Support batch and, where applicable, streaming data-processing patterns using Databricks, Apache Spark, and Delta Lake.
• Coordinate technical delivery with data architects, source-system teams, integration engineers, security specialists, governance leads, testing teams, and business stakeholders.
• Lead technical estimates, capacity planning, backlog refinement, sprint execution, release readiness, and stabilization activities.
• Mentor data engineers and ensure reusable code, design patterns, runbooks, and lessons learned are adopted across later modernization waves.
• Communicate technical decisions, risks, dependencies, and delivery impacts to client and program leadership.

What You Will Need

• Bachelor’s degree from an accredited universtiy.
• Minimum SIX (6)+ years of experience.
• Experience in data engineering, ETL/ELT, cloud data platforms, software development, or analytics engineering.
• Hands-on experience designing and developing production Databricks solutions using Apache Spark, PySpark, Python, SQL, Delta Lake, notebooks, workflows, and jobs.
• Experience building scalable batch data pipelines and reusable ingestion, transformation, and orchestration frameworks.
• Experience with enterprise data migration, source-to-target mapping, data conversion, reconciliation, validation, and defect remediation.
• Experience implementing data-quality controls, metadata capture, lineage, logging, monitoring, and technical auditability.
• Experience with Git-based development, automated testing, CI/CD, release management, and production stabilization.
• Experience leading data engineers and delivering complex data solutions in a client-facing environment.
• Ability to obtain and maintain a Federal Public Trust.

What Would Be Nice to Have

• Databricks Certified Data Engineer Professional or comparable Databricks certification.
• Experience with Unity Catalog, Delta Live Tables, Databricks Workflows, Auto Loader, or related platform capabilities.
• Experience with cloud storage, identity and access management, secrets management, networking, and platform security.
• Experience with Azure DevOps, GitHub Actions, Jenkins, Terraform, or other infrastructure-as-code and deployment tools.
• Experience developing APIs, data services, integration patterns, or event-driven pipelines.
• Experience modernizing HR, ERP, workforce, financial, or other sensitive enterprise data.
• Experience supporting federal agencies, regulated organizations, or public-sector modernization programs.
• Experience with Agile Scrum or Kanban delivery.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.