Senior Big Data Architect

Engineering Full-time
The Organization

This is an incredible opportunity to join an emerging technology firm to help us develop world-class artificial intelligence solutions. Our mission is to unlock real-world benefits only made possible through synthetic data applications. Simply put, we build “Impossible” AI utilizing our expertise in computer vision, deep learning, and generative technologies.

Despite our high-tech profile, we understand that our advantage is people. And that is why we focus on building a great culture. While we work hard to be the very best at what we do, we also play hard and do our best to make work fun.

This role is a full-time position for a motivated Senior Big Data Architect with excellent technical, and communication skills.

We are Synthetaic… we work with the best to develop Impossible AI!

The Location

Conveniently located along the I-94 corridor in southeast Wisconsin’s Lake Country Area, we are just a short drive to downtown Milwaukee to the east, and Madison to the west. We are fortunate to call the idyllic community of Delafield, WI our home. Tucked among the beautiful lakes that surround our wonderful community is a quality of life that surpasses most. We have nearby access to all the best amenities, including great schools, fine local restaurants, water/winter sports, and the arts. All this and we are less than 30 minutes from the home of the Milwaukee Bucks and Milwaukee Brewers.

The Position

A Senior Big Data Architect is a top contributor, performing both design and implementation of big data storage and compute solutions for Synthetaic. This role provides architectural leadership in the areas of big data storage and big data compute to other technical resources. Reporting to the Director of Engineering, a senior big data architect acts as a liaison between business direction and technical requirements by providing architectural visibility to both leadership stakeholders and engineering resources on the current/future state of Synthetaic big data architectures. Requires extensive knowledge of big data tools like Hadoop, Databricks, Hive, Hbase, Azure, Spark, etc. Requires extensive knowledge in ETL processes and tools, and query languages such as SQL, TSQL, and Python. Requires a Master’s degree in computer science, data science, or a related area or equivalent years of experience.

You expect the best and embrace a work environment that recognizes the critical value of teamwork for success. You possess great collaborative skills and build things better as a result. Your thought process is positive, and it shows in your work and outcomes.

What You'll Be Doing
  • Building a scalable multi-petabyte big data and AI hybrid compute architecture on Microsoft Azure.
  • Building an elastic and hybrid could big data architecture which supports linear scaling of storage and compute with an enterprise SLA.
  • Providing architectural leadership in big data storage and big data compute to other technical resources.
  • Acting as a liaison between business direction and technical requirements by providing architectural visibility to leadership and engineering resources on the current/future state of Synthetaic big data architectures.
  • Defining a data governance plan acceptable to all developer + AI roles by solving the needs of data governance simultaneously providing ease-of use.
  • Developing and defining an ML-Ops and Data-Ops plan and process.
Bring Your Best
  • Minimum of 12 years’ experience in data architecture including 5 in technical leadership.
  • Master’s degree in computer science, data science or related area, or equivalent in professions experience.
  • Extensive knowledge of big data tools like Hadoop, Databricks, Hive, H-base, Azure, Spark etc.
  • Design and implementation experience in big data technologies (Azure Databricks, Spark, Hadoop, Kafka, NoSQL storage) and data architecture patterns (delta lake, lambda, data lake, streaming and micro-batching).
  • Familiarity with Azure Kubernetes Service and Azure Data Factory.
  • Familiarity with backend infrastructure and architecture for data intensive front-end applications.
  • Solid expertise in ETL processes and tools, and query languages including SAL, TSQL and Python.
  • Expertise in enterprise data architecture. Knowledge of big data management and governance best practices.
  • Experience with database configuration, standardization, and efficiency.
  • Experience in storage/archival patterns for training data and machine learning models.
  • Exceptional communications and presentation skills.
  • Ability to work effectively on independent and collaborative levels.
  • Strong follow-through capability and a demonstrated history of accuracy in completed work.
Why You Should Apply

At Synthetaic, we believe that competitive pay provides a foundation for a complete benefit package that helps you live your best life, both at work and at home. Here is a summary of what we offer our employees:

Learning & Growing
  • Challenging and Dynamic Role
  • Professional Growth Opportunities
  • Performance Management and Coaching
Health & Wellness
  • Medical
  • Dental
  • Vision
  • Health Savings Accounts
  • Wellness Discount
Health & Wellness
  • Competitive Base Pay
  • Annual Merit Review
  • Telecommute Policy
  • PTO
Planning for the Future
  • Employee stock option program
  • 401 (k)
  • Life Insurance
Culture & Workplace
  • Building Impactful Solutions for Humanity
  • Collaborative, Results-Driven, Fun Culture
  • On the Fast Track to an Exciting Future
  • Healthy Work-Life Balance
  • Contemporary Work Environment


Synthetaic is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Synthetaic is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.

To Apply

If you would like more detail about anything above, please do not hesitate to contact us before submitting your formal application.

AI together.

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