Geospatial Analytics Data Platform Architect

The Team

At Arity, our Analytics team is at the core of helping us transform mobility. They not only know how to analyze and find meaning within the data but are passionate about how it affects the end-users of our products. They work with a treasure trove of massive data sets every day—after all, Arity is constantly collecting and deciphering billions of miles of driving data. And as our data continues to grow by the second, our Analytics teammates grow right alongside it. We give them the opportunity to model and visualize that data to create innovative products, working side-by-side with our diverse product teams. The insights uncovered by the Analytics team help catalyze groundbreaking solutions for our customers and are a driving force in making transportation smarter, safer, and more useful for everyone. Personally, we think that’s pretty game-changing stuff.

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Job Summary:

We are seeking a skilled Geospatial Analytics Data Platform Architect for the Analytics Data Platform team. An ideal candidate would have an extensive experience in designing geospatial data platforms for large-scale analytics and machine learning on the cloud. You will leverage geospatial technology to drive impactful data solutions. In this role, you will lead cross-functional teams, ensure robust data governance, and apply your geospatial expertise to create cutting-edge data architecture and data products on the Google Cloud Platform.

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Key Responsibilities

Platform Design & Architecture:

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• Design, develop, and implement scalable geospatial data architectures for analytics and machine learning using GCP services.
• Evaluate and recommend tools and technologies for data ingestion, storage, processing, and visualization.

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Data Governance:

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• Establish and enforce data governance frameworks to ensure data integrity, quality, and security across the geospatial data landscape.
• Collaborate with Data Governance and data management teams to define and implement data policies, standards, and practices.
• Knowledge of privacy laws such as CCPA and GDPR would be nice to have. 

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Cross-Functional Leadership:

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• Lead and mentor cross-functional teams, including data scientists, ML and data engineers, and data/BI analysts, ensuring alignment with project goals and timelines.
• Facilitate communication between technical and non-technical stakeholders to drive understanding and support for initiatives.

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Geospatial Expertise:

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• Provide subject matter expertise in geospatial data, technologies, and methodologies, staying current with industry trends and best practices.
• Develop and conduct training sessions and workshops to enhance the team's geospatial capabilities.

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Project Management:

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• Oversee project lifecycles from conception through deployment, ensuring successful delivery of solutions.
• Manage timelines, budgets, and resources effectively to meet project objectives.

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Required Qualifications

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• Bachelor’s degree in Geospatial Science, Computer Science, Geography, or a related field. A master’s degree is preferred.
• 5+ years of experience in geospatial data architecture or related roles, with a strong focus on GCP or AWS platforms.
• Proven track record in data governance and modern data management platforms.
• Expertise in geospatial data processing tools (e.g., ArcGIS, QGIS, Carto Sedona).
• Proficiency in cloud platforms and related services (BigQuery, Redshift, Dataplex, DataZone).
• Familiarity with database technologies (SQL, NoSQL), diverse data formats (Avro, Iceberg, Parquet, Delta Lake), spatial data formats (raster, vector, GeoJSON, GeoParquet), data integration tools, ETL and ELT workflows, data modeling, data lineage and cataloging tools, batch and streaming pipeline design.

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Skills

Apache Spark, Apache Spark, Architectural Design, AWS Glue, AWS Redshift, Cloud Computing, Cross-Functional Team Leadership, Data Governance, Data Lake, Data Management, Data Modeling, Data Organization, Design, Extract Transform Load (ETL), GCP Dataflow, General Data Protection Regulation, Geospatial Data, Geospatial Data Analysis, Geospatial Mapping, Geospatial Technologies, Geospatial Tools, Google Cloud Data Catalog, NoSQL, Project Management, Reference Architectures {+ 3 more}

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Compensation

Compensation offered for this role is $121,600.00 – 206,650.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

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Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

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You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.