snowflake jobs in San Diego

The MMIS Developer – Supply Chain designs and develops software systems supporting supply chain operations, translating business requirements into technical solutions. Responsibilities include maintaining analytics databases, creating reports, troubleshooting, and managing software upgrades.…See more The role requires proficiency in VBA and SQL Server, with preferred experience in Power BI, Python, Snowflake, Lawson ERP, and Epic; applicants should demonstrate strong analytical thinking, project management, and supply chain domain knowledge.

Senior Software Engineer responsible for designing and operating Affirm's analytical data platform, including secure data access patterns, CI/CD integration, self-service automation, and observability infrastructure. The role requires hands-on expertise with cloud data platforms (Snowflake, Databricks, BigQuery), containerization, API integrations, and Python/SQL backend work.…See more You'll participate in on-call coverage, triage production incidents, and help build next-generation capabilities including semantic layers and AI-native data tooling while setting high engineering standards across the platform.

Enterprise Architect Director responsible for defining strategic architecture direction across core enterprise platforms (ERP, CRM, PLM, SCM, quality, laboratory, financial systems) and establishing enterprise-wide integration, API, data, cloud, security, and AI architecture standards. The role requires 12+ years of progressive IT experience with 8+ years in enterprise architecture, strong expertise in integration patterns, modern data platforms, public cloud (AWS/Azure), AI/generative AI, and proven leadership on complex portfolio rationalization and M&A programs.…See more This position influences executive leadership on technology strategy, manages architecture practice budgets and resources, and ensures compliance with GxP, 21 CFR Part 11, and GAMP 5 requirements.

Senior Staff Technical Data Analyst responsible for data exploration, quality assessment, and governance across Finance Technology initiatives, including AI/ML pipelines and SOX-compliant financial reporting. Design and build end-to-end BI solutions using SQL, Python, Qlik, Databricks, and Tableau while identifying where GenAI and agentic approaches can modernize financial controls, anomaly detection, and self-service analytics.…See more Partner with Finance stakeholders (FP&A, Accounting, Revenue) to translate business requirements into technical solutions, and mentor junior analysts on craft standards for data quality and documentation. Requires 10+ years in data analytics or BI supporting Finance, Accounting, or regulated compliance functions, with proven expertise in cloud data platforms, data governance frameworks, SOX controls, and active hands-on experience with generative AI tools.

Data Analyst role focused on supply chain performance and insights at a global medical device company. The analyst will build dashboards and reporting solutions using Tableau/Power BI, query large datasets with SQL, and develop self-service and AI-enabled analytics capabilities to support distribution, logistics, and supply chain stakeholders across multiple regions.…See more The role requires 3+ years of analytics experience, strong Excel and SQL skills, demonstrated AI literacy, and the ability to translate business questions into actionable insights. Candidates should be comfortable supporting global teams across time zones and identifying operational trends that drive decision-making.

Senior Data Engineer at Sony to design, build, and maintain scalable data pipelines, dashboards, and reporting solutions supporting PlayStation's payments, subscription, and fraud-prevention systems. Will develop AI-ready data products for analytics, automation, and machine-learning workflows in close partnership with data scientists, analysts, and global payments stakeholders.…See more Requires 7+ years in data engineering or related software/systems work, strong SQL and data modeling, proficiency in Python/Java/scripting languages, and experience operationalizing data for ML and governance. Will mentor team members, communicate technical architectures to executives, and drive platform reliability and security.

A senior individual contributor role requiring 10+ years of Oracle EBS and Cloud SCM expertise in semiconductor/high-tech manufacturing. The role combines hands-on RICEW development (PL/SQL, Oracle Forms, Reports, OIC, APIs, FBDI/HDL) with functional domain leadership across Order Management, Procurement, Inventory, and Supply Chain modules.…See more Responsibilities include technical solution design, Oracle patch/upgrade assessments, performance tuning, and driving AI/ML integration (Snowflake, Python, Oracle AI Apps) for automation and predictive analytics. The candidate must mentor teams, ensure data governance and compliance, and partner across IT, Supply Chain, Finance, and Operations to execute large-scale ERP transformation.

Design, build, and maintain real-time data ingestion pipelines that reliably flow streaming data from multiple sources into a data platform while ensuring quality, observability, and scalability. Monitor data health, develop resilient pipelines with proper error-handling and backpressure strategies, and automate monitoring of real-time feeds to alert on timeliness, volume, and distribution issues.…See more Collaborate with data, platform, and software engineers to optimize pipeline configuration, perform root-cause analysis on data outages, and work with security teams on encryption and data classification. Requires 3+ years in data engineering, data operations, or DevOps roles; proficiency with Python and bash; and hands-on experience with tools like Kafka, NiFi, Spark Streaming, Snowflake, Elasticsearch, Grafana, and Prometheus.

Design, develop, and deliver enterprise reporting and analytics solutions using Power BI and Snowflake for a large-scale ERP implementation. The role requires 2+ years of hands-on Power BI development (Desktop, Service, DAX, Power Query, data modeling, performance tuning) and 2+ years of Snowflake experience (SQL, querying, views, enterprise data models).…See more Translate business requirements into intuitive dashboards and reports with row-level security, working closely with functional teams, business analysts, and project stakeholders across Finance, Procurement, HR, or Supply Chain domains.

A Forward Deployed Data Engineer will lead discovery workshops with North American fleet management customers to understand their business problems, then translate those into scoped data, analytics, and AI solutions. You'll own engagements end-to-end—from scoping and estimation through prototype development and delivery—working closely with Sales, Product, and Engineering.…See more The role requires 5+ years of hands-on data engineering or analytics engineering, strong SQL and Python skills, depth with Snowflake or equivalent cloud data warehouse, dbt or similar transformation frameworks, and proven ability to present technical findings to executive stakeholders.

Lead discovery workshops with North American fleet management customers to translate business problems into scoped data, analytics, and AI solutions. Own customer engagements end-to-end—from discovery through delivery—including scoping, estimates, and risk management.…See more Build and prototype applied AI use cases, present findings to technical and executive stakeholders, and work closely with Sales, Product, and Engineering teams. Requires 5+ years of hands-on data engineering or analytics engineering experience, strong SQL proficiency, cloud data warehouse expertise (Snowflake preferred), Python or equivalent programming language, dbt or transformation framework experience, and demonstrated comfort presenting to executive audiences.

Senior Software Engineer 2 role building scalable backend and frontend systems for an AI-integrated platform. You'll develop server-side infrastructure in NodeJS/NestJS, create clean React UIs with AI interaction patterns, and collaborate with product and AI teams on strategic solutions.…See more The role requires 7+ years of software engineering experience, 3+ years with NodeJS and React, strong full-stack capabilities (databases, cloud platforms, REST APIs), and hands-on experience integrating LLMs or building AI-driven features.

This is an onsite production support role for enterprise analytics platforms, requiring 5+ years of experience supporting Matillion, Cognos, Power BI, Tableau, and MDM environments. The specialist will act as the primary point of contact for analytics, BI, ETL, and MDM issues, coordinating between end users, business stakeholders, and offshore teams while managing daily operational health, incident response, and SLA performance.…See more The role demands expertise in cloud analytics platforms (AWS, Azure, Snowflake), ITIL-based service management, and ticketing systems like ServiceNow or Jira, with strong skills in incident/problem/change management and translating technical issues for business audiences.

Senior Data Architect with 15+ years of experience designing and implementing enterprise data platforms that support modern AI/ML and Generative AI applications. Must have strong hands-on expertise in ETL/ELT, Python, SQL, and enterprise data warehousing, with production experience in Treasure Data, real-time analytics, streaming pipelines (Apache Kafka), and AI-ready data architectures including RAG, vector databases, and LLM integrations (LangChain, LangGraph, Azure OpenAI, AWS Bedrock).…See more Will design batch and real-time enterprise data architectures on cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with CDC/Debezium incremental processing capabilities.

Build and deploy production-ready AI solutions using LLM orchestration platforms (LangChain, LangGraph, CrewAI, n8n) and agentic workflows that integrate with existing data infrastructure like Snowflake. Develop sophisticated prompt engineering and RAG systems with vector databases, conduct independent data analysis to identify AI opportunities, and translate technical work into clear insights for leadership.…See more Move solutions from concept to deployed, maintainable tools with proper documentation and intuitive interfaces. Collaborate cross-functionally with data scientists, analysts, and stakeholders to drive organizational impact.

The Data Architect will design and oversee enterprise data platforms, databases, and integration pipelines across SQL, NoSQL, and cloud services. Responsibilities include establishing data standards, implementing governance frameworks, architecting ETL/ELT pipelines, managing database platforms, and enabling analytics and BI.…See more The role requires 12+ years of progressive experience with cloud data platforms (Snowflake, Azure SQL, MongoDB Atlas, Cosmos DB), advanced SQL and Python skills, and proven leadership guiding engineering teams on enterprise data strategy.

Sr. Manager overseeing a data engineering team with responsibility for hiring, coaching, and performance management while remaining hands-on with architecture, design reviews, and technical decisions.…See more The role requires designing and operating production data pipelines and lakehouse platforms using AWS (S3, Glue, Athena, Lambda) and Snowflake, with hands-on proficiency in SQL and Python. Responsibilities include establishing data governance, compliance, security controls, CI/CD practices, and collaborating across engineering, analytics, product, and clinical teams to translate requirements into platform capabilities. The manager must balance delivery priorities, technical debt reduction, operational excellence, and emerging-technology evaluation while driving outcomes that affect broader business objectives.

The MMIS Developer designs and develops software systems and analytics solutions for Scripps Health's supply chain operations, translating business requirements into technical implementations. The role involves maintaining critical databases, creating reports and Power BI dashboards, and supporting ongoing upgrades and troubleshooting of department systems.…See more Required skills include strong analytical thinking, project management, and proficiency in SQL Server; preferred experience includes VBA, Python, Snowflake, Power BI, Lawson ERP, and Epic systems. This position requires business acumen in supply chain analytics and the ability to work both independently and collaboratively.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

Entry-level database administrator role focused on SQL development, ETL, and data management. Responsibilities include writing and optimizing SQL queries, designing and maintaining relational databases, performing data extraction and transformation, troubleshooting database issues, and supporting data-driven business decisions.…See more The role requires SQL proficiency, familiarity with relational databases (SQL Server, Oracle, MySQL, PostgreSQL), understanding of database concepts and normalization, and basic data analysis skills.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices, mentor engineers in PySpark, SQL, dbt, Fivetran, and cloud-native development, and design scalable data infrastructure across GCP, Azure, and AWS cloud data warehouses (BigQuery, Snowflake, Databricks). Manage technical delivery, collaborate across enterprise teams to develop end-to-end data solutions, and align data initiatives with business goals while remaining current on industry trends.See more

Principal AI Platform Engineer leading enterprise AI infrastructure strategy and governance at the platform boundary. Responsible for implementing and maintaining Bedrock Guardrails and Microsoft Purview DLP controls, managing AI vendor relationships with Microsoft and AWS, producing governance artifacts and runbooks, and leading internal AI adoption through community building and enablement.…See more Requires 7–10 years of cloud/DevOps experience with hands-on production expertise in AWS Bedrock (Agents, Knowledge Bases, Guardrails) and Microsoft 365 Copilot deployment in enterprise environments, including data integration, RAG architecture, and AI security controls.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and customer experiences. Responsibilities include implementing end-to-end AI/ML pipelines using AWS services (SageMaker, Lambda, ECS/EKS), feature engineering with Snowflake, model fine-tuning and testing, and monitoring production performance.…See more The role requires 3+ years of AI/ML experience with 1–2 years in generative AI or LLMs, hands-on cloud deployment experience, and proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.

Lead large-dataset analysis projects for lending clients, cleaning and analyzing millions of loan-origination records while maintaining rigorous data quality and defensible methodology. Design analyses around customer business goals, translate findings into clear ROI narratives for both technical and executive audiences, and present results directly to stakeholders.…See more Build reusable queries, templates, and documentation to improve study consistency and speed. Spend 20% of time supporting sales through discovery calls, product demos, and creating sales materials.