Data Architect

Egen is hiring a Data Architect for a remote role open to applicants in United States. It pays $160k-$200k a year and Level rates it ; you can apply on Egen.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting lists this role as remote.
Tools and skills the posting cites include Databricks, Google Cloud Platform and BigQuery.
Level lists 21 other open roles at Egen.
The role was posted in the last few days.

AI in this role

Design and implement scalable Data Lakehouse solutions and modern data pipelines on Google Cloud Platform.

databricksgoogle-cloud-platformbigquerydataplex

data-architecturedata-pipelinesdata-governancelakehouse

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

Be part of 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

6+ 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.

How we rate this

Data Architect at Egen rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Architect is an open job at Egen.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $160k-$200k a year.
The role is based in Remote and is marked remote.
The job was posted on October 29, 2026.
Seniority: senior.
Applications are handled by Egen. Apply on Egen

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ArchitectureData PipelinesData GovernanceLakehouseDatabricksGoogle Cloud PlatformBigQueryDataplex

Questions you could be asked

Tell me about a project where data architecture was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where lakehouse was part of your work. What did you do?
Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Architecture, Data Pipelines, Data Governance, Lakehouse, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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