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Principal Data Architect

Nashville, TN or Remote

Live, first seen by us 15 days ago
Pay
USD 180,000–250,000/year — pay source
Salary 180,000 – 250,000 USD per year Compensation & Benefits:
Read the full posting
Work setting
Remote — work setting source
Listed location: Nashville, TN or Remote
Work setup in the employer’s posting: remote
From the employer’s posting
Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting

What you’ll work on

Full posting
  • Lead architecture and implementation of scalable Data Lakehouse solutions on GCP

  • Translate customer business and data needs into architecture blueprints and plans

  • Design real-time and batch data pipelines using orchestration and streaming tools

  • Set and enforce standards for cataloging, metadata, lineage, and data quality

  • Mentor engineers and review solutions as technical lead for project teams

From the employer’s posting
Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP)
translate them into robust architectural blueprints and actionable plans
Design and implement data pipelines supporting both real-time and batch ingestion using modern orchestration and streaming frameworks
Establish and enforce best practices for data cataloging, metadata management, lineage, and data quality across multiple systems
Serve as the technical lead for project teams - mentoring engineers, reviewing solutions, and ensuring architectural consistency across deliverables

What you’ll bring

All qualifications

Core experience

  • 8–10 years of progressive experience in Software Engineering and Data Platform development, with 5+ years architecting data platforms on GCP and/or Databricks
  • Strong understanding of data ingestion patterns (real-time and batch), ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or similar frameworks
  • Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads
  • Experience implementing data governance, security, and cataloging solutions (Dataplex, Data Catalog, IAM, or equivalent)
  • Excellent communication and presentation skills - able to confidently engage with technical and non-technical stakeholders and guide clients through solution decisions
  • Demonstrated ability to lead by example in mixed teams of engineers, analysts, and architects, balancing architectural vision with hands-on delivery
Qualification wording
8–10 years of progressive experience in Software Engineering and Data Platform development, with 5+ years architecting data platforms on GCP and/or Databricks
Strong understanding of data ingestion patterns (real-time and batch), ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or similar frameworks
Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads
Experience implementing data governance, security, and cataloging solutions (Dataplex, Data Catalog, IAM, or equivalent)
Excellent communication and presentation skills - able to confidently engage with technical and non-technical stakeholders and guide clients through solution decisions
Demonstrated ability to lead by example in mixed teams of engineers, analysts, and architects, balancing architectural vision with hands-on delivery

Benefits in the posting

Full benefits wording
  • This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
  • Comprehensive Health Insurance
  • Paid Leave (Vacation/PTO)
  • Paid Holidays
  • Sick Leave
  • Parental Leave
  • Bereavement Leave
  • Employee Referral Bonuses
  • Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
  • EEO and Accommodations:

From the employer’s posting.

About Egen

Egen is a fast-growing and entrepreneurial company with a data-first mindset.

In the employer’s words · Read in context

Apply at Egen

Posting record

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Status in our records
Live
First seen by us
Oct 29, 202615 days ago
Recorded sightings
14
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

$180K–$250K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 15

Similar jobs usually come down between day 8 and day 57.

At Egen, jobs usually come down by about day 31.

From 9,475 similar postings that came down, and 9 of Egen’s. Coming down is not always a hire.

Egen is hiring

5 open jobs

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

  • Data Leadership hiring is picking up
  • Takes jobs down at a usual pace
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.

  • BigQuery
  • Databricks
  • Delta Lake
  • GCP
  • Google Cloud Storage
  • Airflow
Where the posting names them
Responsibilities - Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP) using BigQuery, GCS, BigLake, and Dataplex - Collaborate directly with customers to understand business goals, data challenges, and technical requirements; translate them into robust architectural blueprints and actionable plans
- Must be willing to go on-site at least 1-2 times per month - 8–10 years of progressive experience in Software Engineering and Data Platform development, with 5+ years architecting data platforms on GCP and/or Databricks - Proven hands-on experience designing and deploying Data Lakehouse platforms with data products and medallion architectures
- Demonstrated ability to lead by example in mixed teams of engineers, analysts, and architects, balancing architectural vision with hands-on delivery - Nice to have: Experience with Databricks (Delta Lake, Unity Catalog) and hybrid GCP-Databricks data architectures - Strong problem-solving mindset, curiosity to explore new technologies, and ability to “zoom out” for architecture discussions and “zoom in” for code-level troubleshooting
About Egen: Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description.
- Proven hands-on experience designing and deploying Data Lakehouse platforms with data products and medallion architectures - Strong understanding of data ingestion patterns (real-time and batch), ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or similar frameworks - Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
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 Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

About Egen: 
 
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
 
Want to learn more about life at Egen? Check out these resources in addition to the job description.
 

Responsibilities

  • Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP) using BigQuery, GCS, BigLake, and Dataplex
  • Collaborate directly with customers to understand business goals, data challenges, and technical requirements; translate them into robust architectural blueprints and actionable plans
  • Design and implement data pipelines supporting both real-time and batch ingestion using modern orchestration and streaming frameworks
  • Establish and enforce best practices for data cataloging, metadata management, lineage, and data quality across multiple systems
  • Define and implement data security, access control, and governance models in compliance with enterprise and regulatory standards
  • Serve as the technical lead for project teams - mentoring engineers, reviewing solutions, and ensuring architectural consistency across deliverables
  • Balance strategic architecture discussions with hands-on solutioning, POCs, and deep dives into data pipelines or performance tuning
  • Partner with stakeholders, cloud architects, and delivery leads to drive solution adoption, scalability, and long-term maintainability
  • Represent the company as a trusted technical advisor in client engagements - clearly articulating trade-offs, best practices, and recommendations

Qualifications

  • Must be willing to go on-site at least 1-2 times per month
  • 8–10 years of progressive experience in Software Engineering and Data Platform development, with 5+ years architecting data platforms on GCP and/or Databricks
  • Proven hands-on experience designing and deploying Data Lakehouse platforms with data products and medallion architectures
  • Strong understanding of data ingestion patterns (real-time and batch), ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or similar frameworks
  • Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads
  • Experience implementing data governance, security, and cataloging solutions (Dataplex, Data Catalog, IAM, or equivalent)
  • Excellent communication and presentation skills - able to confidently engage with technical and non-technical stakeholders and guide clients through solution decisions
  • Demonstrated ability to lead by example in mixed teams of engineers, analysts, and architects, balancing architectural vision with hands-on delivery
  • Nice to have: Experience with Databricks (Delta Lake, Unity Catalog) and hybrid GCP-Databricks data architectures
  • Strong problem-solving mindset, curiosity to explore new technologies, and ability to “zoom out” for architecture discussions and “zoom in” for code-level troubleshooting
This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.

Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable. 
 
Total compensation also includes an annual bonus, on top of the base salary. 

Salary

180,000 – 250,000 USD per year

Compensation & Benefits:
 
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave 
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
 
Check out our complete list of benefits here - >https://egen.ai/people/#benefits
 
Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
 
EEO and Accommodations:
 
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Employment type

Full Time

Source details

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Pay
Salary 180,000 – 250,000 USD per year Compensation & Benefits:
Location & working pattern

Nashville, TN or Remote

Qualifications - Must be willing to go on-site at least 1-2 times per month - 8–10 years of progressive experience in Software Engineering and Data Platform development, with 5+ years architecting data platforms on GCP and/or Databricks
More source context
- Demonstrated ability to lead by example in mixed teams of engineers, analysts, and architects, balancing architectural vision with hands-on delivery - Nice to have: Experience with Databricks (Delta Lake, Unity Catalog) and hybrid GCP-Databricks data architectures - Strong problem-solving mindset, curiosity to explore new technologies, and ability to “zoom out” for architecture discussions and “zoom in” for code-level troubleshooting
Work authorization

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