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Managing Consultant, Databricks Data Engineering Lead

Pay
$130,000–216,000/year — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Employer’s visa record
39 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Lead Databricks data engineering and DataOps delivery across ingestion, transformation and serving

  • Design and build reusable pipelines, migration utilities and data-quality controls

  • Set standards for coding, testing, CI/CD, and operational support

  • Troubleshoot Databricks job failures, pipeline bottlenecks, and data-quality issues

  • Mentor data engineers and communicate delivery risks to client leadership

From the employer’s posting
Lead Databricks data engineering and DataOps delivery across ingestion, transformation, orchestration, migration, integration, serving, and consumption patterns.
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.
Mentor data engineers and ensure reusable code, design patterns, runbooks, and lessons learned are adopted across later modernization waves.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree from an accredited universtiy.
  • 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.

Preferred experience

  • 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.
Qualification wording
Bachelor’s degree from an accredited universtiy.
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 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.
Education & alternatives
What You Will Need - Bachelor’s degree from an accredited universtiy. - Minimum SIX (6)+ years of experience.

About Guidehouse

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

In the employer’s words · Read in context

Apply at Guidehouse

Posting record

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Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 202610 days ago
Recorded sightings
10
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$130K–$216K against $127K–$190K, the middle half of what similar US postings state.

From 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 10

Similar jobs usually come down between day 6 and day 56.

At Guidehouse, jobs usually come down by about day 30.

From 13,619 similar postings that came down, and 162 of Guidehouse’s. Coming down is not always a hire.

Guidehouse is hiring

108 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 7% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Delta Lake
  • Spark
  • Terraform
  • PySpark
Where the posting names them
- 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 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.
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.
- 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.
- 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.
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.
- 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.

Your next step

Complete your application on guidehouse.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 RecruitingAccommodation@guidehouse.com. 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 guidehouse@myworkday.com.  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 recruiting@guidehouse.com. 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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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.
Location & working pattern

US - VA, Arlington

Working pattern and location restrictions need checking in the full posting.

Work authorization

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