Egen Logo

Principal Data Architect Streaming Data Platforms

💰 $200k-$220k

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.

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Role Overview:

We are looking for an experienced Data Architect to design, build, and scale modern data and streaming platforms that power real-time and analytical use cases. This role requires strong hands-on architecture experience across streaming technologies, cloud-native platforms, Master Data Management (MDM), and data governance.

Responsibilities:

  • Design and implement scalable streaming data platforms to support real-time ingestion, processing, and analytics
  • Architect and guide the development of end-to-end data platforms across batch and streaming workloads
  • Lead and contribute to Master Data Management (MDM) solutions, including:
  • Golden record design
  • Data matching, survivorship, and hierarchy management
  • Integration patterns with downstream consumers
  • Define and implement data governance frameworks, including:
  • Data ownership and stewardship models
  • Data quality rules and monitoring
  • Metadata, lineage, and access controls
  • Collaborate with application teams to expose data via APIs and event-driven architectures
  • Provide architectural guidance for cloud-native deployments, including containerization and orchestration
  • Establish data architecture standards, patterns, and best practices
  • Partner with DevOps teams to enable CI/CD, infrastructure automation, and platform reliability
  • Review designs, mentor engineers, and help drive technical decisions across projects

Required Experience, Skills & Qualifications:

  • Experience : 8–12+ years in data engineering and architecture roles
  • Strong experience designing streaming data platforms (Kafka, MSK, Kinesis, or similar)
  • Proven hands-on experience building or leading MDM implementations
  • Solid understanding of data governance principles and real-world implementation
  • Experience designing event-driven and API-first data architectures
  • Deep knowledge of data modeling (canonical models, domain-driven design concepts)
  • Ability to translate business requirements into scalable technical solutions
  • Good Communication Skills

Preferred / Nice-to-Have Skills

  • AWS experience (MSK, Kinesis, S3, Glue, Lambda, ECS, etc.)
  • Experience with Java / Spring Boot for data and API services
  • Containerization and orchestration using Docker and ECS
  • Exposure to DevOps practices (CI/CD pipelines, IaC, Terraform, Git-based workflows)
  • Experience with cloud security and IAM best practices

What Success Looks Like in This Role

  • Streaming platforms are scalable, reliable, and easy for teams to adopt
  • MDM solutions serve as a trusted source of truth across the enterprise
  • Governance is practical and embedded into platforms—not just documentation
  • Engineering teams are aligned on standards and patterns

$200,000 - $220,000 a year

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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