Egen

Cloud-based AI platform development and consulting

Principal Data Architect

Data EngineeringUpdated on Nov 11

Full-timeNashville, TN, USA

About the Job

Requirements

Must be willing to go on-site at least 1–2 times per month.
Requires 8–10 years of progressive experience in Software Engineering and Data Platform development, including 5+ years architecting data platforms on Google Cloud Platform and/or Databricks.
Requires hands-on experience designing and deploying Data Lakehouse platforms with data products and medallion architectures.
Requires strong understanding of real-time and batch data ingestion patterns, ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or similar frameworks.
Requires expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads.
Requires experience implementing data governance, security, and cataloging solutions such as Dataplex, Data Catalog, IAM, or equivalent.
Requires the ability to communicate and present effectively with technical and non-technical stakeholders and guide clients through solution decisions.
Requires the ability to lead by example in mixed teams of engineers, analysts, and architects while balancing architectural vision with hands-on delivery.

Responsibilities

Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform using BigQuery, GCS, BigLake, and Dataplex.
Collaborate directly with customers to understand business goals, data challenges, and technical requirements, then translate them into architectural blueprints and actionable plans.
Design and implement data pipelines for 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 that comply with enterprise and regulatory standards.
Serve as the technical lead for project teams by mentoring engineers, reviewing solutions, and ensuring architectural consistency across deliverables.
Balance strategic architecture discussions with hands-on solutioning, proofs of concept, 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 by articulating trade-offs, best practices, and recommendations.

Desired Qualifications

Experience with Databricks, Delta Lake, Unity Catalog, and hybrid Google Cloud Platform–Databricks data architectures.

Salary Range: 180000 to 250000 (Currency: USD) (Pay period: per-year-salary)

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

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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

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

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.

About the Company

Egen

Cloud-based AI platform development and consulting

Egen.ai helps organizations improve operations and reduce costs by delivering data-driven solutions built on cloud computing, artificial intelligence, and platform development. It creates tailored platforms and predictive models that ingest data from client systems, then deploys AI features on cloud infrastructure along with ongoing monitoring and support. The company differentiates itself through end-to-end data and platform delivery, close collaboration with trusted technology partners, and a focus on concrete outcomes for both government and enterprise clients. Its goal is to accelerate clients’ data and platform value chains to achieve meaningful cost savings and better decision-making.

Company size: 1,001-5,000
Company stage: Pre-seed
Total funding: $1.3M
Headquarters: Naperville, IL
Founded: 2000

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