Data Platform Engineer

Staff Data Platform Engineer page is loaded## Staff Data Platform Engineer locations:
Zionsville, Indiana time type:
Full time posted on:
Posted 2 Days Agojob requisition :
R26 0081
** Group 1001
** is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group
1001’s culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets – our employees.
** Why This Role Matters:
*** As a Staff Data Platform Engineer, you will be a key technical leader responsible for defining and driving the strategic direction of our data infrastructure and data product ecosystem. You will work across multiple teams to evolve and scale our industry-leading data platform, ensuring alignment with business and analytics needs. Your leadership will be critical in establishing best practices, mentoring senior engineers, and delivering high-impact platform capabilities that enable data-driven decision-making across the organization.
* You'll be the organizational expert in data platform tooling and practices. You'll define the north star, demonstrate what great looks like, and enable domain teams to deliver trusted data products. This means owning vendor relationships, building reference implementations, consulting on new initiatives, and training the broader organization on modern data engineering practices
* You'll also have the opportunity to shape and lead our data governance and data mesh architecture — building the foundation for trusted, discoverable, self-service data products leveraging a modern stack including Snowflake, Dagster, Coalesce, Atlan, and Datafold.
*
* Please note:

This position requires an in-person interview.
**** How You'll Contribute**:
* Define and drive the technical roadmap for data platform infrastructure and our data product ecosystem, ensuring scalability, reliability, and performance across the organization
* Lead the design and implementation of complex, organization-wide data systems that support analytics, machine learning, AI, and business intelligence workloads
* Architect and evolve our data governance framework, enabling domain ownership, self-service data quality resolution, and trusted, discoverable data products
* Design and implement data observability capabilities — including lineage, anomaly detection, and automated quality monitoring — to ensure data reliability at scale
* Establish and enforce engineering standards, best practices, and architectural patterns for data infrastructure across multiple teams
* Partner with senior leadership and stakeholders across the business to align platform capabilities with strategic priorities
* Mentor and guide senior engineers and platform leads, fostering a culture of technical excellence and continuous improvement
* Champion data mesh principles, enabling domain teams to own and publish data products with clear contracts and SLAs
* Evaluate and integrate new technologies, tools, and frameworks to keep our platform at the forefront of industry innovation
* Lead incident response and resolution for critical platform issues, ensuring minimal business impact
* Manage vendor partnerships and technology evaluations to optimize our infrastructure investments
*
* What We're Looking For:

** Technical

Skills:

* Advanced in Cloud Platforms (AWS/Azure/GCP), Snowflake including performance optimization, cost management, and architectural best practices, Python + SQL, RDBMS, Orchestration tools (Airflow/Dagster), Data pipelines, IaC (Terraform), containerization (Docker, Kubernetes), CI/CD, Monitoring, Security and Disaster Recovery

Education:

* Bachelor's degree in Computer Science, Data Science, Engineering, or related field
* Master's degree or equivalent experience preferred

Experience:

* 7-10 years of experience in data platform or related field
* Proven track record of leading high-impact, organization-wide data initiatives from conception through delivery
*…