Principal Data Architect

Egen; Nashville (TN); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

401(k) Employer Match

Paid Vacation/PTO

Paid Holidays

Bereavement Leave

Employee Referral Bonuses

Job summary

Egen in Nashville seeks an experienced Data Platform Architect to lead end-to-end data lakehouse initiatives on Google Cloud Platform, BigQuery, and Dataplex. You will design scalable architectures, guide real-time and batch pipelines, and ensure robust data governance and security.

You will mentor engineers, partner with clients and cloud architects, and drive long-term maintainability and adoption of data platforms across engagements.

Qualifications

• 8-10 years of progressive Software Engineering and Data Platform experience.
• 5+ years architecting data platforms on GCP and/or Databricks.
• Strong understanding of data ingestion, ETL/ELT, and orchestration.
• Experience with data governance, security, and cataloging solutions.

Responsibilities

• Lead the end-to-end architecture, design, and implementation of data lakehouse solutions on GCP using BigQuery, GCS, BigLake, and Dataplex.
• Collaborate with customers to translate business goals into architectural blueprints and actionable plans.
• Design and implement real-time and batch data pipelines with modern orchestration and streaming frameworks.
• Establish best practices for data cataloging, metadata management, lineage, and data quality across systems.
• Define and enforce data security and governance in line with enterprise standards.
• Mentor engineers, review solutions, and ensure architectural consistency across deliverables.
• Balance strategic discussions with hands-on delivery and performance tuning.
• Partner with stakeholders to drive adoption, scalability, and maintainability of solutions.
• Represent the company as a technical advisor in client engagements with clear trade-offs and recommendations.

Skills

Data architecture

GCP Data Platform

Data governance

ETL/ELT pipelines

Airflow

Stakeholder communication

Education

Bachelor's degree in CS/Engineering

Tools

Dataplex

Data Catalog

IAM

BigQuery

Databricks

Job description

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.

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.

• Meet Egen
• Life at Egen
• Culture and Values at Egen
• Career Development at Egen
• Benefits at Egen

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

• 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

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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. 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.