Geospatial Data Architect

CenterPoint Energy and its predecessor companies have been in business for more than 150 years.

Our Vision: Our vision is to become the most admired utility in the United States through the execution of our long‑term growth strategy. We have an unwavering commitment to safely and reliably deliver electricity and natural gas to millions of people.

Our Commitment: CenterPoint Energy is committed to creating an inclusive work environment where business results are achieved through the skills, abilities and talents of our diverse workforce.

At CenterPoint Energy, individuals are respected for their contributions toward our company objectives. We strive for an inclusive work environment across all levels that is reflective of the available workforce in the communities we serve.

The Geospatial Architect serves as an enterprise leader responsible for designing and governing CenterPoint Energy’s geospatial data architecture, cloud‑based spatial analytics platforms, and spatial‑enabled data products. This role focuses on scalable data pipelines, cloud geospatial processing, advanced analytics, and enterprise integration. The position works closely with the GIS team to ensure alignment between operational geospatial systems and enterprise data and analytics platforms, supporting business units, engineering, planning, AI/ML, and system reliability initiatives.

• Architect cloud native geospatial data ecosystems using Big Query GIS, Dataflow, and scalable storage formats (Parquet/Geo Parquet,etc.).
• Design spatial data models, schemas, indexing strategies, and governance standards optimized for analytics, AI/ML, and reporting.
• Translate business and operational requirements into data architecture specifications, collaborating with GIS to align operational datasets with analytical models.
• Establish patterns for data ingestion, versioning, lineage, enrichment, and consumption across analytics tools.
• Lead development of automated spatial ETL/ELT pipelines using Python, SQL, and event driven architectures.
• Ensure data quality via geometry validation, topology checks, schema enforcement, and automated testing.
• Integrate operational GIS datasets into analytical and cloud platforms with clear metadata and lineage.
• Architect cloud geospatial platforms on GCP, including Big Query, Cloud Run, Cloud Storage, and VPC/Security.
• Implement Infrastructure as Code for geospatial systems (Terraform, Cloud Build).
• Collaborate with AI/ML teams to enable spatial features and model ready datasets.
• Scale emerging cloud geospatial capabilities such as vector tiles, quadtrees, and semantic spatial search.
• Act as the primary geospatial architecture expert within Data & Analytics.
• Define the enterprise geospatial data roadmap aligned with corporate strategy.
• Mentor data engineers, analysts, and architects on spatial and cloud architecture.

Requires a bachelor’s degree in GIS, Computer Science, Engineering, Data Science, or related field

• 12+ years of progressive experience in geospatial data engineering, cloud architecture, or analytics‑oriented GIS roles.
• Proficiency with SQL, Big Query GIS or PostGIS, Python spatial libraries, or similar technologies.
• Experience building production ETL/ELT pipelines and spatial analytics workflows.
• Proven expertise in Python, with hands‑on experience using machine learning libraries such as scikit‑learn, Tensor Flow, PyTorch, and JAX.
• Extensive experience with cloud services such as, including Vertex AI, Big Query, Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and Cloud Run.
• Deep proficiency in data pipeline orchestration, streaming architectures, and containerization using Docker, Kubernetes, and serverless frameworks.
• Hands‑on experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or Deployment Manager.
• Demonstrated success in leading high‑performing, cross‑functional technical teams, mentoring junior engineers, and fostering a culture of innovation.

• MBA or advanced degree in mathematics, GIS, business, finance, statistics, computer science, or a related field.
• Certifications in relevant cloud platforms (e.g., Google Cloud Certified –…