{"id":10908,"date":"2026-03-03T11:53:13","date_gmt":"2026-03-03T14:53:13","guid":{"rendered":"https:\/\/teamup.tech\/?post_type=awsm_job_openings&p=10908"},"modified":"2026-03-25T16:59:22","modified_gmt":"2026-03-25T19:59:22","slug":"principal-data-engineer","status":"publish","type":"awsm_job_openings","link":"https:\/\/teamup.tech\/en\/jobs\/principal-data-engineer\/","title":{"rendered":"Principal Data Engineer"},"content":{"rendered":"

Summary<\/mark><\/h2>\n\n\n\n

As a Principal Data Engineer, you will be a Senior technical leader with 10 years of experience, responsible for architecting, building, and operating foundational systems of the enterprise data platform. This role drives scalable data processing pipelines, canonical data models, and self-service analytical capabilities that enable faster, data-driven decisions across the business.<\/p>\n\n\n\n

You will partner closely with Data Architects and business stakeholders to translate strategy into execution, modernize platform capabilities (Delta Lake, streaming architectures), and enable advanced analytics and machine learning. This position offers technical leadership opportunities, cross\u2011team influence, and the chance to elevate engineering standards and data quality across the organization.<\/p>\n\n\n\n

Responsibilities<\/mark><\/h2>\n\n\n\n
    \n
  • Collaborate with Data Architects and business partners to design and evolve enterprise data architecture and platform capabilities.<\/li>\n\n\n\n
  • Translate architectural strategy into technical designs and delivery plans across teams.<\/li>\n\n\n\n
  • Design, code, and optimize complex distributed data processing systems using Spark, Databricks, and cloud\u2011native data services.<\/li>\n\n\n\n
  • Develop canonical data models, semantic structures, and reusable datasets to support reporting and machine learning.<\/li>\n\n\n\n
  • Drive platform modernization initiatives such as Delta Lake and metadata\u2011driven design.<\/li>\n\n\n\n
  • Create reusable frameworks and platform capabilities to accelerate analytics, ML, and governed self\u2011service data access.<\/li>\n\n\n\n
  • Lead root\u2011cause analysis for major data issues and implement long\u2011term improvements in data quality, lineage, and observability.<\/li>\n\n\n\n
  • Provide technical leadership, guidance, and mentorship to Staff, Senior, and mid\u2011level data engineers.<\/li>\n\n\n\n
  • Influence cross\u2011organizational roadmaps and engineering investments; participate in architecture reviews and governance forums.<\/li>\n<\/ul>\n\n\n\n

    Requirements<\/mark><\/h2>\n\n\n\n
      \n
    • Bachelor\u2019s or Master\u2019s degree in Computer Science, Information Systems, or equivalent experience.<\/li>\n\n\n\n
    • 10+ years of experience in data engineering or a related technical field.<\/li>\n\n\n\n
    • Expert proficiency in SQL, Python, and Spark for large\u2011scale data processing.<\/li>\n\n\n\n
    • Extensive experience designing and building cloud\u2011native data pipelines, data models, and distributed data systems (Delta Lake, Spark, Unity Catalog, Jobs, Workflows).<\/li>\n\n\n\n
    • Experience with Azure (required).<\/li>\n\n\n\n
    • Strong experience designing and tuning distributed data processing systems at scale.<\/li>\n\n\n\n
    • Deep knowledge of data engineering best practices including version control, CI\/CD, automated testing, DevOps\/DataOps, and observability.<\/li>\n\n\n\n
    • Proven ability to lead cross\u2011functional technical initiatives and influence architectural direction.<\/li>\n\n\n\n
    • Strong problem\u2011solving, debugging, analytical, and collaboration skills; ability to thrive in agile, dynamic teams.<\/li>\n<\/ul>\n\n\n\n

      Nice to Have<\/mark><\/h2>\n\n\n\n
        \n
      • Experience with Databricks Unity Catalog, Delta Live Tables, or Databricks Workflows.<\/li>\n\n\n\n
      • Advanced data modeling skills (dimensional, data vault, semantic layers).<\/li>\n\n\n\n
      • DataOps experience including pipeline observability, monitoring, and automated quality.<\/li>\n\n\n\n
      • Experience with metadata management and governance platforms (Unity Catalog, Purview, Collibra, Alation).<\/li>\n\n\n\n
      • Experience with streaming frameworks used with Spark Structured Streaming (Kafka, Event Hubs, Kinesis).<\/li>\n\n\n\n
      • Experience contributing to architecture review boards, technical councils, or data governance forums.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"

        Summary As a Principal Data Engineer, you will be a Senior technical leader with 10 years of experience, responsible for architecting, building, and operating foundational systems of the enterprise data platform. This role drives scalable data processing pipelines, canonical data models, and self-service analytical capabilities that enable faster, data-driven decisions across the business. You will […]<\/p>","protected":false},"author":2,"template":"","meta":[],"class_list":["post-10908","awsm_job_openings","type-awsm_job_openings","status-publish","hentry","job-category-contractor","job-category-it","job-category-software","job-type-full-time","job-type-usd-payment","job-location-remote"],"_links":{"self":[{"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/awsm_job_openings\/10908","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/awsm_job_openings"}],"about":[{"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/types\/awsm_job_openings"}],"author":[{"embeddable":true,"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":2,"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/awsm_job_openings\/10908\/revisions"}],"predecessor-version":[{"id":11092,"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/awsm_job_openings\/10908\/revisions\/11092"}],"wp:attachment":[{"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/media?parent=10908"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}