Principal Data Architect

Egen Solutions; Nashville (TN); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

Paid Leave (Vacation/PTO)

Paid Holidays

Sick Leave

Parental Leave

Bereavement Leave

401 (k) Employer Match

Employee Referral Bonuses

Job summary

Egen is seeking a senior data architecture leader to own the end-to-end design of scalable data lakehouse solutions on Google Cloud Platform. You will translate business goals into robust architectural blueprints and guide cross-functional teams through real‑time and batch data ingestion initiatives.

You will mentor engineers, define governance and security standards, and collaborate with clients to establish scalable, maintainable data platforms.

Qualifications

• 8–10 years of progressive software engineering and data platform work.
• 5+ years architecting data platforms on GCP and/or Databricks.
• Hands-on experience deploying Data Lakehouse platforms with medallion architectures.
• In-depth knowledge of real-time and batch data ingestion patterns.
• Experience with data governance, security, and cataloging solutions.
• Excellent communication and stakeholder engagement skills.
• Leadership in mixed teams of engineers, analysts, and architects.
• Nice to have: Databricks Delta Lake/Unity Catalog and hybrid GCP‑Databricks architectures.

Responsibilities

• Lead end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on GCP (BigQuery, GCS, BigLake, Dataplex).
• Collaborate with customers to translate goals into architectural blueprints and action plans.
• Design data pipelines for real-time and batch ingestion using modern orchestration frameworks.
• Establish data cataloging, metadata management, lineage, and data quality practices across systems.
• Define data security, access control, and governance models compliant with standards.
• Mentor engineers, review solutions, and maintain architectural consistency across deliverables.
• Balance architecture discussions with hands-on delivery, POCs, and deep technical work.
• Partner with stakeholders to drive adoption, scalability, and maintainability.
• Represent the company as a trusted technical advisor in client engagements.

Skills

GCP architecture

Data platform design

Communication

Leadership

Problem solving

Data governance

Security & IAM

Education

Bachelor's or higher in CS/Engineering

Tools

Airflow

Pub/Sub

Dataplex

Databricks

Delta Lake

Unity Catalog

BigQuery

GCS

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.

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

$180,000 - $250,000 a year

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.

Compensation & Benefits

• 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 - >

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.