Manager, Data Platform Engineering
- Pay
- $155,000 – $175,000 per year
- Location
- Chicago, IL · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Listed
- 22 days ago
Skills & highlights for this role
- Snowflake administration
- least-privilege access control
- SQL performance tuning
Also useful
- Satori
- Terraform
- dbt
- PostgreSQL
Stated benefits & perks
- Retirement
- Health and welfare
- Parental leave
How you'll make an impact
As the Manager of Data Platform Engineering, you will lead the platforms that power our data and analytics capabilities, with Snowflake at the center. This is a hands-on leadership role. You will lead a small team while personally designing, automating, operating, and troubleshooting critical platform components. You will own Snowflake architecture and operations across security, governance, administration, reliability, performance, and cost, while providing operational oversight for PostgreSQL.
Own and Evolve the Data Platform
- Own Snowflake architecture, roadmap, administration, and engineering standards.
- Configure and operate Snowflake compute, storage, networking, integrations, and platform services.
- Create reusable patterns, automation, and guardrails that enable teams to deliver safely and efficiently.
- Oversee AWS RDS PostgreSQL configuration, security, backup, and recovery for product applications.
Strengthen Security, Governance, and Access
- Design and automate least-privilege security and access controls, including RBAC, service identities, credentials, privileged access, and the access lifecycle.
- Improve access-management tools, including Satori and internal solutions.
- Partner with Security and Infrastructure to align Snowflake and PostgreSQL with enterprise requirements.
- Improve auditability of platform access, administrative activity, and policy compliance.
Drive Performance and Cost Efficiency
- Own Snowflake performance and cost management, optimizing warehouse sizing, workloads, concurrency, storage, and configuration.
- Diagnose complex query and workload performance issues with engineering teams.
- Implement monitoring, alerting, resource controls, cost attribution, and platform health metrics.
Build Automation and Engineering Practices
- Use Infrastructure as Code, including Terraform, to make platform configuration repeatable, reviewable, and auditable.
- Build automation with SQL, Python, and APIs to reduce manual administration and improve reliability and self-service.
- Maintain Git-based CI/CD practices for platform configuration and deployment.
- Establish practical standards for dbt and related data-platform technologies.
- Maintain operational tooling, documentation, and runbooks.
Lead While Staying Hands-On
- Lead, mentor, and develop a small team of database and platform professionals.
- Set technical direction and priorities while remaining directly involved in architecture, implementation, and troubleshooting.
- Serve as the senior escalation point for complex production issues and participate in a shared on-call model.
- Lead cross-functional initiatives through direct ownership and influence.
- Contribute to hiring and team development.
Drive Improvement and Modernization
- Identify opportunities to improve scalability, efficiency, and cost
- Support adoption of Snowflake, Microsoft Fabric, and modern data tools
- Partner to enable analytics, ML, and AI workloads
- Promote automation and standardization
What we're looking for
- Deep hands-on Snowflake expertise across administration, security, performance, cost optimization, automation, and production architecture.
- Strong SQL skills and demonstrated experience troubleshooting and optimizing complex data workloads.
- Experience implementing least-privilege access, service identities, privileged access, credential management, access lifecycle controls, and auditing.
- Strong AWS experience and an understanding of the cloud infrastructure and security concepts surrounding modern data platforms.
- Experience with Infrastructure as Code (Terraform preferred), Python or similar automation languages, and Git-based CI/CD.
- Experience working with dbt or similar modern data-transformation tooling.
- Working knowledge of PostgreSQL or strong relational database fundamentals.
- Experience supporting production systems and participating in incident response and operational troubleshooting.
- Ability to set technical direction, implement solutions, and lead technical professionals.
- Strong communication, collaboration, and influence across engineering teams.
- Sound judgment balancing security, reliability, performance, cost, and productivity.
You'd really wow us if you have
- Experience with Satori or similar data access-management and security platforms.
- Experience with legacy SQL Server environments.
- Experience supporting data platforms used for analytics, machine learning, or AI workloads.
- Experience moving manually administered infrastructure toward automated self-service.
Pay and benefits
Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.
How we work
Our preferred location for open roles is Chicago, IL. We value in-person connection and regularly host on-campus events to create meaningful opportunities for our team to build relationships and collaborate
Thinking about applying?
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click "Apply" for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
Here @ Strata
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.
We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization.
Our Core Values
While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers.
- We connect with positive intent.
- We are helpful.
- We own it.
- We get better every day.
- We are humble.
Equal opportunity and legal notices
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to.
We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.
From Strata Decision Technology's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Manager, Data Platform Engineering role at Strata Decision Technology?
The Manager, Data Platform Engineering posting at Strata Decision Technology states compensation of $155,000 – $175,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Strata Decision Technology's official career site.
Where is the Manager, Data Platform Engineering job at Strata Decision Technology located?
This Manager, Data Platform Engineering position at Strata Decision Technology is located in Chicago, IL (On-site). Always check Strata Decision Technology's application page for specific state eligibility or relocation policies.
What qualifications are required for Manager, Data Platform Engineering at Strata Decision Technology?
For the Manager, Data Platform Engineering role, Strata Decision Technology highlights experience with Snowflake administration, least-privilege access control, SQL performance tuning. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Manager, Data Platform Engineering position at Strata Decision Technology?
This listing links directly to Strata Decision Technology's Greenhouse application page. You can apply directly on Strata Decision Technology's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.