[Remote] Principal Data Architect at Egen

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data EngineeringIndustries

Requirements

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
Nice to have: Strong problem-solving mindset, curiosity to explore new technologies, and ability to “zoom out” for architecture discussions and “zoom in” for code-level troubleshooting

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

Skills

Key technologies and capabilities for this role

Google Cloud PlatformGCPBigQueryGCSBigLakeDataplexData LakehouseData PipelinesReal-time IngestionBatch IngestionData OrchestrationStreaming FrameworksData CatalogingMetadata ManagementData LineageData QualityData SecurityAccess ControlData Governance

Questions & Answers

Common questions about this position

What experience level is required for the Principal Data Architect role?

The role requires 8–10 years of progressive experience in Software Engineering and Data Platform development, with 5+ years architecting data platforms on GCP and/or Databricks.

What are the key technical skills needed for this position?

Key skills include hands-on experience with Data Lakehouse platforms using BigQuery, GCS, BigLake, and Dataplex on GCP, data ingestion patterns with tools like Airflow and Pub/Sub, data modeling, ETL/ELT pipelines, and data governance solutions.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at Egen?

Egen is a fast-growing, entrepreneurial company with a data-first mindset, dedicated to learning, solving tough problems, continual innovation, and attracting the best engineering talent to drive impact through advanced platforms like Google Cloud and Salesforce.

Egen

Provides API strategies and cloud solutions

About Egen

Egen Solutions specializes in API strategies and cloud solutions to help businesses modernize and scale. They offer two main paths for application development: Rebuild, which improves existing functionalities, and Replace, which creates new applications in the cloud. Egen stands out by providing tailored digital transformation services that focus on delivering measurable ROI and quick results. Their goal is to enhance productivity and reduce operational costs for clients across various sectors, including retail and public health.

Naperville, IllinoisHeadquarters

2000Year Founded

$1.3MTotal Funding

PRE_SEEDCompany Stage

Consulting, Consumer Software, Enterprise SoftwareIndustries

1,001-5,000Employees

Benefits

Fun team outings

Health insurance

401(K)

Dental & vision insurance

Paid time-off

Food & drinks

Parental leave

Risks

Emerging tech startups offering similar solutions at lower costs threaten Egen's market share.

Rapid technological changes may outpace Egen's ability to update its solutions.

Economic downturns in retail and e-commerce could impact Egen's revenue.

Differentiation

Egen offers tailored digital transformation services with a focus on ROI and innovation.

The company specializes in secure, dynamic API strategies for seamless business growth.

Egen provides two application development paths: Rebuild and Replace, ensuring flexibility.

Upsides

Rising demand for cloud-native applications boosts Egen's cloud solutions offerings.

Growing interest in API-first development enhances Egen's API strategies and integration services.

Increased focus on cybersecurity in API development aligns with Egen's secure solutions.

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