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.
Nashville, TN or Remote
Live, first seen by us 15 days agoSalary 180,000 – 250,000 USD per year Compensation & Benefits:Read the full posting
Listed location: Nashville, TN or Remote
Work setup in the employer’s posting: remoteFrom the employer’s posting
Employment type Full Time
Employment type in the employer’s posting: Full TimeFrom the employer’s 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
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
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
From the employer’s posting.
Egen is a fast-growing and entrepreneurial company with a data-first mindset.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
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.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
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.
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.
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.
180,000 – 250,000 USD per year
Full Time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary 180,000 – 250,000 USD per year Compensation & Benefits:
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
- 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
No clear work-authorization passage found. Eligibility is unconfirmed.