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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Architect - **Company:** Egen, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $195,000.0 - $270,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Identity and Access Management, Performance Tuning, Software Engineering, Data Ingestion, Data Lakes, Data Management, Data Lakehouse, Data Pipelines, Databricks - **Published:** August 24, 2026 - **Apply:** https://jobs.lever.co/egen/e1e0571b-8136-4869-8964-2d82c8ce688e/apply?lever-origin=applied&lever-source%5B%5D=BuiltInNationwide ## About the Role * 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 ## Description * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)