Managing Consultant, Databricks Data Engineering Lead

Guidehouse; McLean (VA); On-site; USD 130,000 - 216,000; Full time

Benefits offered by this job

Medical Insurance

Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Mobility Stipend

Job summary

Guidehouse is seeking a Senior Data Engineer to lead Databricks data engineering and DataOps for client programs. You will design scalable pipelines across ingestion, transformation, and serving layers, and drive governance and data quality initiatives.

You will mentor engineers, steer architectural decisions, and coordinate with data architects, security, and business stakeholders. Travel up to 25% and the ability to obtain a Federal Public Trust are required.

Qualifications

• Bachelor’s degree from an accredited university.
• Minimum six or more years of experience in data engineering or analytics.
• Hands-on Databricks solutions using Spark, PySpark, Python, SQL, Delta Lake, notebooks, workflows, and jobs.
• Experience building scalable batch data pipelines and reusable ingestion/transformation frameworks.
• Experience with enterprise data migration, mapping, reconciliation, validation, and defect remediation.
• Experience with data-quality controls, metadata, lineage, logging, monitoring, and auditability.
• Experience with Git-based development, automated testing, CI/CD, release management, and production stabilization.
• 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 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

Data engineering

DataOps

Apache Spark

Python

SQL

Delta Lake

CI/CD

Observability

Security

Education

Bachelor’s degree

Tools

Databricks

Apache Spark

Delta Lake

GitHub Actions

Azure DevOps

Job description

• 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.

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.

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.

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

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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.