Sr. Data Platform Engineer

{ "@context": "http://schema.org", "@type": "JobPosting", "title": "Sr. Data Platform Engineer", "url": "https://www.jobit.com/search/jobs/8718024/Sr-Data-Platform-Engineer.html", "datePosted": "2026-02-06T01:56:17+00:00", "validThrough": "2026-03-08T01:56:17+00:00", "description":"Job Description\n\nHybrid role 3X a week in office in Elk Grove, CA; no remote capabilities\n\n

Position Summary:

\n\nThe Senior Data Platform Engineer is a technical expert responsible for designing, implementing, and supporting scalable data solutions using modern big data technologies.\n\nIn this full-time role, you will work closely with data architects, analysts, and business stakeholders to build, optimize, and maintain data pipelines and platforms that drive analytics, reporting, and machine learning.\n\nYou will ensure the reliability, performance, and security of production data systems, and play a key role in troubleshooting, monitoring, and continuous improvement.\n\nPosition Responsibilities - Other duties may be assigned:\n \n\n

• Design, develop, and maintain robust data pipelines for ingesting, transforming, and storing large volumes of structured, semi-structured, and unstructured data.\n \n\n
• Implement data workflows and ETL processes using technologies such as Spark, Delta Lake, and cloud-native tools.\n \n\n
• Support the production use of big data platforms (e.g., Databricks, Snowflake, Google Cloud Platform), ensuring high availability, scalability, and performance.\n \n\n
• Monitor, troubleshoot, and resolve issues in production data systems, including job failures, performance bottlenecks, and data quality concerns.\n \n\n
• Collaborate with data architects to translate business requirements into technical solutions, ensuring alignment with architectural standards and best practices.\n \n\n
• Optimize SQL queries, Spark jobs, and data processing workloads for efficiency and cost-effectiveness.\n \n\n
• Implement and maintain data governance, security, and compliance measures, including access controls, data masking, and audit logging.\n \n\n
• Integrate data workflows into CI\/CD pipelines, automate deployment processes, and manage source control using Git and related DevOps tools.\n \n\n
• Document data pipelines, workflows, and operational procedures to support knowledge sharing and maintainability.\n \n\n
• Stay current with emerging big data technologies and recommend improvements to enhance reliability, scalability, and efficiency.

\n\n

Position Requirements:

\n \n\n

• 7+ years of experience in data engineering or related roles, with hands-on experience building and supporting production data pipelines.\n \n\n
• Strong proficiency with big data platforms (e.g., Databricks, Snowflake, Google Cloud Platform) and the Spark ecosystem.\n \n\n
• Experience with data lakehouse and warehouse architectures, including Delta Lake or similar technologies.\n \n\n
• Senior Data Engineer with deep expertise in Retrieval-Augmented Generation (RAG) systems and advanced chunking strategies for optimizing semantic search and LLM integration, delivering scalable solutions for enterprise knowledge retrieval and contextual AI applications.\n \n\n
• Advanced skills in PySpark, Python, SQL, and related data processing frameworks.\n \n\n
• Experience with cloud storage, messaging\/streaming t.

..\r\n" , "industry": "FINANCE", "employmentType": "

PERMANENT

", "hiringOrganization": { "@type": "Organization", "name": "Autozone" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Elk Grove, US-CA", "addressRegion": "Elk Grove", "postalCode": "", "addressCountry": "US-CA" } } } Sr. Data Platform Engineer Job Description Hybrid role 3X a week in office in Elk Grove, CA; no remote capabilities

Position Summary:

The Senior Data Platform Engineer is a technical expert responsible for designing, implementing, and supporting scalable data solutions using modern big data technologies. In this full-time role, you will work closely with data architects, analysts, and business stakeholders to build, optimize, and maintain data pipelines and platforms that drive analytics, reporting, and machine learning. You will ensure the reliability, performance, and security of production data systems, and play a key role in troubleshooting, monitoring, and continuous improvement. Position Responsibilities - Other duties may be assigned:

• Design, develop, and maintain robust data pipelines for ingesting, transforming, and storing large volumes of structured, semi-structured, and unstructured data.
• Implement data workflows and ETL processes using technologies such as Spark, Delta Lake, and cloud-native tools.
• Support the production use of big data platforms (e.g., Databricks, Snowflake, Google Cloud Platform), ensuring high availability, scalability, and performance.
• Monitor, troubleshoot, and resolve issues in production data systems, including job failures, performance bottlenecks, and data quality concerns.
• Collaborate with data architects to translate business requirements into technical solutions, ensuring alignment with architectural standards and best practices.
• Optimize SQL queries, Spark jobs, and data processing workloads for efficiency and cost-effectiveness.
• Implement and maintain data governance, security, and compliance measures, including access controls, data masking, and audit logging.
• Integrate data workflows into CI/CD pipelines, automate deployment processes, and manage source control using Git and related DevOps tools.
• Document data pipelines, workflows, and operational procedures to support knowledge sharing and maintainability.
• Stay current with emerging big data technologies and recommend improvements to enhance reliability, scalability, and efficiency.

Position Requirements:

• 7+ years of experience in data engineering or related roles, with hands-on experience building and supporting production data pipelines.
• Strong proficiency with big data platforms (e.g., Databricks, Snowflake, Google Cloud Platform) and the Spark ecosystem.
• Experience with data lakehouse and warehouse architectures, including Delta Lake or similar technologies.
• Senior Data Engineer with deep expertise in Retrieval-Augmented Generation (RAG) systems and advanced chunking strategies for optimizing semantic search and LLM integration, delivering scalable solutions for enterprise knowledge retrieval and contextual AI applications.
• Advanced skills in PySpark, Python, SQL, and related data processing frameworks.
• Experience with cloud storage, messaging/streaming t.

..

Rate:

163500

Location:

Elk Grove, US-CA Type:

Permanent Industry:

Finance Recruiter:

Autozone Contact:

Not Specified Email:

to view click here

Reference:

42719

Posted:

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