snowflake jobs in San Diego

Design, build, and deploy intelligent AI agents and agentic process automation solutions using Snowflake Cortex (Agents, Analyst, Search) and Microsoft Azure. Work hands-on with clients to identify high-value AI use cases, architect scalable solutions integrated with existing infrastructure, develop POCs and pilot projects, and provide technical leadership.…See more Requires 5+ years of AI/ML solution architecture experience, deep expertise in Snowflake Cortex platform, agentic automation design, and Azure/Power Platform.

Principal Data Platform Engineer responsible for designing and implementing cloud-native data integrations using AWS services (S3, Glue, Lambda) and Snowflake. Builds and maintains data transformation models using dbt, manages Snowflake platform infrastructure, and leads cross-functional collaboration between engineering, analytics, and business teams.…See more Requires 8+ years in data engineering or data platform roles with expert-level Python, SQL, dimensional modeling, and infrastructure-as-code expertise. Acts as a technical mentor and translates business requirements into data architecture priorities.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

Join Sony Interactive Entertainment's D2C Data Science team to support PlayStation's payment and subscription experiences through statistical analysis, A/B testing, and machine learning. You will own analyses of payment success, subscription recovery, and payment flow optimization, building models for forecasting, segmentation, and propensity while translating complex data into actionable recommendations for product and engineering teams.…See more The role requires strong SQL and Python skills, solid statistics and experimental design knowledge, and the ability to work independently on well-scoped analyses while communicating findings clearly to both technical and non-technical stakeholders.

This role designs and governs enterprise data architectures across SQL, NoSQL, and cloud platforms for a financial institution. The Data Architect will establish data standards, lead golden-record and SSOT initiatives, architect ETL/ELT pipelines, manage data quality and governance frameworks, and oversee database platform strategy (SQL Server, Azure SQL, Snowflake, MongoDB Atlas, Cosmos DB).…See more The position requires 12+ years of progressive experience, deep cloud data platform expertise, SQL and Python proficiency, and demonstrated leadership guiding engineering teams through enterprise modernization and compliance-driven initiatives.

Senior Business Intelligence Analyst responsible for responding to business inquiries and delivering data-driven insights to stakeholders. The role involves developing and maintaining advanced dashboards using tools like Tableau and Domo, manipulating data with SQL/Python/R, and collaborating across departments to translate business requirements into analytical solutions.…See more Requires 4+ years of BI experience, expertise in SQL, proficiency with cloud data platforms (Snowflake, AWS), and strong communication skills to tell data stories and drive business decisions.

Staff Data Engineer at Illumina seeking a senior individual contributor with 10+ years building and scaling data products on Databricks and Snowflake. The role spans end-to-end ownership of data pipelines across Supply Chain, Manufacturing, and Quality domains, requiring advanced Python, SQL, and data modeling skills with hands-on expertise in Spark, Delta Lake, dbt, and distributed systems design.…See more Responsibilities include designing medallion-architecture data products, embedding governance and data quality, adopting AI in analytics workflows, and mentoring a global engineering team. The candidate will set technical standards, lead architecture decisions, and communicate trade-offs across business, AI, and platform stakeholders.

This Data Engineer II role focuses on data operations and infrastructure, supporting the transition of data systems from development to production. The engineer will administer data lakehouse/warehouse platforms (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse), manage RBAC and user governance, monitor and troubleshoot data pipelines, and contribute to data governance and quality best practices.…See more Key responsibilities include orchestration tool administration (Apache Airflow, dbt), observability framework development, incident management, and hands-on SQL and Python work to maintain and optimize production data systems.

Lead end-to-end Salesforce Data Cloud implementations as a Principal or Senior Principal Architect, owning business requirements gathering, architecture design, data ingestion and modeling, identity resolution, segment creation, and activation. Translate complex client needs into well-architected solutions leveraging Salesforce Data Cloud and the broader ecosystem; direct technical teams, present to stakeholders, and mentor delivery disciplines.…See more Demonstrate proficiency with ANSI SQL, Salesforce APIs, data governance, and marketing fundamentals, while using AI tools to accelerate workflows, optimize data preparation, and support documentation.

Enterprise Data & Analytics Architect responsible for designing and maintaining SQL Server databases, developing ETL pipelines using SSIS or Azure Data Factory, and creating enterprise reporting solutions with SSRS and Power BI. The role requires 8+ years of database engineering in OLAP/OLTP environments, expert SQL Server knowledge, and experience migrating processes to Azure.…See more Candidates will oversee documentation, mentor developers, and stay current with data engineering, BI, and cloud computing trends while ensuring compliance with company and federal regulations.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

Design, build, and maintain real-time data ingestion pipelines that reliably stream data from diverse sources into a production data platform. You will ensure data quality, observability, and scalability while monitoring pipeline health, building resilient systems with proper error handling and backpressure strategies, and automating monitoring and alerting for timeliness and data issues.…See more Partner with data engineers, platform engineers, and analytics teams to configure pipelines for reliability, perform root cause analysis on outages, and work with security teams on encryption and data governance. Proficiency required in Python and bash scripting, plus hands-on experience with tools like Kafka, NiFi, Flink, Spark, Snowflake, Grafana, and Prometheus.

Design, build, and maintain real-time data ingestion pipelines that reliably stream data from multiple sources into a centralized data platform. You will ensure data quality, observability, and low-latency delivery while collaborating with data engineers, platform engineers, and analytics teams.…See more Responsibilities include building resilient pipelines with error handling, automating monitoring and alerting for data issues, performing root cause analysis on outages, and partnering with security teams on encryption and data governance. You must demonstrate proficiency in Python and bash scripting, familiarity with tools like Kafka, NiFi, Spark Streaming, Snowflake, and Elasticsearch, and 3+ years of experience in data engineering or DevOps roles supporting production pipelines.

Design, build, and maintain data pipelines that ingest, transform, and load data from SQL Server, PostgreSQL, SaaS platforms like HubSpot, and internal applications into Snowflake. Develop and optimize data models, manage data quality and governance, and create dashboards and reports to support reporting and analytics use cases.…See more Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions. Optimize query performance and storage efficiency within Snowflake while implementing best practices in documentation and pipeline monitoring.

The System Administrator Expeditionary Systems (OpAI) will maintain and integrate AI capabilities into Naval expeditionary systems, including sensor kits, unmanned systems, C2 platforms, and TAK. Daily responsibilities span hands-on troubleshooting of network connectivity and Linux systems, updating edge servers, testing machine learning capabilities, and ensuring high-quality data flow between tactical systems.…See more The role requires 3+ years of experience in system administration, data engineering, or related fields, with intermediate Linux proficiency, familiarity with edge servers and containerization (Docker, Kubernetes), and experience with tactical data pipelines. The successful candidate will collaborate with engineers, ML specialists, and data teams to integrate cutting-edge AI solutions while supporting operational forces.

Lead the design and governance of Sharp HealthCare's enterprise data architecture, including data models, warehouses, and integration patterns supporting clinical, operational, and strategic analytics. Collaborate with IT, analytics teams, and business stakeholders to translate organizational needs into scalable, compliant data solutions.…See more Optimize data pipelines, define data standards, and guide implementation of data platforms while mentoring technical team members and contributing to long-term data strategy.

Senior Software Engineer working on AI-integrated expeditionary systems for the Navy, designing and deploying tactical data pipelines that connect sensors, unmanned systems, and command-and-control platforms. Requires 10+ years in software engineering, data engineering, or related roles, with expert Python skills, containerization experience (Docker/Kubernetes), and hands-on expertise in tactical data formats, event streaming platforms, and system integration.…See more Will collaborate with ML engineers, data engineers, and systems engineers to normalize tactical data, integrate machine learning models, and ensure robust data flow in field-tested operational environments.

The System Administrator Expeditionary Systems (OpAI) will maintain and troubleshoot tactical systems integrating AI capabilities into Naval expeditionary platforms, including sensors, unmanned systems, and command-and-control infrastructure. Daily responsibilities span hands-on system administration (Linux, edge servers, software updates), testing machine learning capabilities in field environments, and collaborating with engineers to deploy and monitor data pipelines connecting tactical systems.…See more The role requires 3+ years in system administration, data engineering, or related technical fields, with intermediate Linux command-line proficiency, familiarity with containerization (Docker, Kubernetes), edge computing platforms (Jetson Nano, DGX), and troubleshooting of tactical data architectures. The candidate will work closely with machine learning engineers, data engineers, and software engineers to ensure performant, reliable data flow across integrated systems.

Lead the design, deployment, and governance of an enterprise AI platform integrating AWS Bedrock, Microsoft 365 Copilot, and structured/unstructured data sources. Act as the primary technical authority for AI infrastructure, RAG architecture, security controls, and AI adoption across business units, with responsibility for platform budget, vendor contracts, and internal capability building through mentoring and community-of-practice leadership.…See more Requires hands-on production experience with Bedrock (Agents, Knowledge Bases, Guardrails), M365 Copilot enterprise deployment, and proven ability to operate as a solo platform owner in a matrixed organization without direct reports.

This role leads enterprise-level analytics and visualization initiatives, requiring 7+ years of BI and data visualization experience. The candidate will design executive dashboards and scorecards using Power BI and Tableau, establish visualization standards and governance, translate business requirements into actionable insights, and mentor analysts on best practices.…See more The position requires deep expertise in data modeling, SQL, dashboard architecture, and data storytelling, with strategic responsibility for the organization's long-term visualization strategy and potential evolution into a Visualization Architect role.

The Product Owner will manage the product backlog and roadmap for a data platform serving alternative investment firms, applying deep expertise in ETL/ELT pipelines, data warehousing, and self-service reporting. The role requires translating complex client and business requirements into technically feasible product solutions while collaborating closely with engineering on Snowflake-based architectures, BI tools, and API integrations.…See more Success depends on defining metrics, monitoring post-release performance, driving adoption, and continuously refining the product based on customer feedback and usage data. The ideal candidate has 5+ years in product ownership or product management within fintech/alternative investment software, with strong domain knowledge of fund accounting, portfolio reporting, and investor reporting workflows.

Senior/Staff Data Engineer responsible for building production data pipelines, APIs, and BI tools that serve Agoda's contact center operations. Will design and maintain dashboards, metrics, and analytics platforms using SQL, Python, Java, Golang, or TypeScript; work with data warehouses like BigQuery, Snowflake, or Redshift; and orchestrate ETL/ELT workflows using tools such as Airflow or dbt.…See more At Staff level, defines roadmap for key data platforms, mentors junior engineers, and influences cross-team data architecture to scale with business growth.

The AI Architect II is a senior technical leadership role responsible for establishing architectural standards and patterns for AI solutions, including RAG pipelines, agentic workflows, and model serving. The role involves designing scalable AWS cloud architectures, defining MLOps practices, implementing responsible AI governance, and translating business requirements into enterprise AI and cloud strategies.…See more The position requires hands-on technical expertise to evaluate and integrate AI/ML services, lead systems design across microservices and event-driven architectures, and mentor engineering teams on cloud and AI best practices. This role drives technology decisions with real business impact while modernizing the company's platform through cloud-native and AI transformation initiatives.

Design, build, and maintain data pipelines that ingest, transform, and load data from SQL Server, PostgreSQL, SaaS platforms (HubSpot), and internal applications into Snowflake. Develop and optimize data models, manage data ingestion using Azure Data Factory and data replication tools, and ensure data quality and integrity.…See more Collaborate with business stakeholders to translate analytics requirements into scalable solutions, develop dashboards and reports, and optimize query performance. Implement data governance best practices, monitor pipelines, and recommend technology improvements to support the company's data strategy.

SAIC seeks an experienced System Administrator to maintain and integrate AI capabilities into expeditionary systems for the Navy, including sensors, unmanned systems, command-and-control, and TAK. The role combines hands-on administration (Linux systems, edge servers, software updates, network troubleshooting) with collaboration on machine learning integration, data pipeline monitoring, and tactical system testing at field exercises.…See more The candidate will work across cross-functional teams—including ML engineers, data engineers, and software engineers—to deploy and validate high-performance data flows in operational environments. Requirements include 2+ years in a related technical role (sysadmin, data engineer, software engineer, or similar), intermediate Linux command-line proficiency, familiarity with containerization (Docker, Kubernetes) and edge GPUs (Jetson Nano, DGX), and experience with tactical system troubleshooting and data pipeline deployment.