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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Platform Engineer, Snowflake - **Company:** AUTOVISTA, LTD - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,000 - $175,000 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Computing Platforms, ARM Architecture, Cloud Computing, Cyber Security, Databases, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Systems, Identity and Access Management, Python (Programming Language), Network Security, Liquibase, Performance Tuning, Software Architecture, Query Optimization, Role-Based Access Control, Standard Sql, DataOps, Runbook, Data Streaming, Enterprise Data Management, Datadog, Feature Store, Data Ingestion, Snowflake, Debezium, Infrastructure Automation Frameworks, Collibra, Enterprise Integration, Apache Kafka, Machine Learning Operations, Terraform - **Published:** November 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c2482b2176710d13 ## About the Role * 5+ years of professional data platform, data engineering, or data infrastructure experience. * 3+ years of hands-on Snowflake experience at production scale (not pilot/POC). * Demonstrated expertise in Snowflake RBAC design, warehouse sizing and cost governance, performance tuning, and security features. * Strong SQL - able to read and optimize a query profile. * Python for tooling, automation, and pipelines. * Production IaC experience - Terraform required; Snowflake provider strongly preferred. * Database CI/CD using Schemachange, Liquibase, dbt, or equivalent change-management tooling. * Cloud fluency in AWS - networking, IAM, storage, and Snowflake integration points. * Ingestion experience with Snowpipe, Streams/Tasks, Kafka, and/or Fivetran/Airbyte. Communication - able to author decision records and runbooks; able to influence without authority. *, * SnowPro Advanced certification (Architect, Data Engineer, or Administrator). * Hands-on dbt and modern Analytics Engineering experience. * Experience with Snowflake Horizon Catalog, Polaris, Collibra, or Alation. * Streaming and CDC: Kafka, Debezium, Snowpipe Streaming, Dynamic Tables. * Iceberg / lakehouse architecture. * Data observability tooling (Monte Carlo, Bigeye, Datadog). * Automotive, financial services, insurance, or regulated consumer-data experience. AI/ML workloads on Snowflake (Cortex, Snowpark, feature stores). * This position has a starting salary range of $120,000 - $175,000 USD / $110,000 to $140,000 CAD per year. The range represents what we reasonably and in good faith expect to pay for the role at the time of posting. An employee's pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location., Candidates must be legally authorized to work in the country where employment is offered. JD Power does not provide employment sponsorship for this position. ## Description Own the hands-on engineering of JD Power's Snowflake data platform. Responsible for translating the Platform Lead's architecture and governance direction into a production-grade, automated, and observable Snowflake environment that supports analytics, product, and AI/ML workloads across the enterprise. In this role, you will: Platform Architecture & Engineering * Design, implement, and evolve Snowflake account, warehouse, database, and object architecture. * Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform to manage Snowflake environments, security models, and platform configurations. * Build and operate CI/CD pipelines for database and platform deployments using tools such as Schemachange, Liquibase, or equivalent technologies. * Optimize platform performance through query tuning, clustering strategies, search optimization, materialized views, and workload management. Security & Access Management * Design and maintain scalable role-based access control (RBAC) frameworks that support least-privilege access principles. * Implement and manage security controls, including masking policies, row access policies, object tagging, and network security configurations. * Integrate Snowflake with enterprise identity providers to support SSO, SCIM provisioning, service account management, and credential lifecycle processes. * Partner with Information Security, Privacy, and Compliance teams to support audit readiness and regulatory requirements. Data Integration & Platform Enablement * Design and operate scalable data ingestion and integration solutions using Snowpipe, Snowpipe Streaming, Streams and Tasks, Kafka Connect, and related technologies. * Manage and support data integration platforms such as Fivetran, Airbyte, or equivalent connector frameworks. * Implement external tables, Apache Iceberg integrations, and lakehouse interoperability patterns as needed. * Integrate Snowflake with orchestration, transformation, and observability platforms, including Airflow, dbt Cloud, and monitoring solutions. Operational Excellence * Monitor platform reliability, performance, data freshness, and cost efficiency while driving continuous improvement initiatives. * Build observability frameworks, dashboards, alerting capabilities, and incident response processes. * Create and maintain architectural standards, technical documentation, operational runbooks, and implementation best practices. * Enable and support Analytics Engineering, Data Science, Product Engineering, and business stakeholders through platform guidance and technical expertise. Cross-Functional Collaboration * Partner with Data Governance, Analytics Engineering, and application teams to ensure the platform supports enterprise data management, security, and analytics objectives. Contribute to platform standards, architectural decisions, and long-term roadmap planning for Snowflake and related data technologies. *