Director, Data Engineering

Data EngineerData EngineerFull TimeRemoteTeam 10,001+H1B No SponsorCompany SiteLinkedIn

Location

California + 3 moreAll locations: California, Illinois, New York, Texas

Posted

39 days ago

Salary

$200K - $300K / year

Bachelor Degree10 yrs expEnglishAirflowAmazon RedshiftAWSAzureBig QueryCloudGoogle Cloud PlatformJavaKafkaPythonScalaSpark

Job Description

• Build, lead, mentor, and inspire a high-performing, globally distributed data platform team • Define and execute the technical strategy and roadmap for the enterprise data platform, overseeing the end-to-end development lifecycle from architecture to deployment and operations • Manage hiring, performance, career development, and resource allocation to ensure the team delivers its commitments with excellence • Champion agile methodologies, a DevOps mindset, and a culture of operational excellence, defining and monitoring SLOs for all platform services • Partner with the central Data Governance team to implement technical solutions that enforce data policies, standards, and compliance requirements across the platform • Develop the scalable, foundational data services and self-service tools that empower Data Science and Analytics teams to work efficiently • Partner closely with key stakeholders in Data Science, Analytics, Product Management, and Application Engineering to understand their needs and ensure the data platform meets their requirements.

Job Requirements

  • Bachelor’s degree in computer science, Engineering, or a related technical field
  • 10+ years of hands-on experience in data engineering, software engineering, or related fields
  • 5+ years of formal experience in a people management role, leading and mentoring engineering teams
  • Proven experience designing, building, and operating large-scale, cloud-native data platforms (AWS, GCP, or Azure)
  • Expert-level knowledge of modern data architecture patterns and big data technologies (e.g., Spark, Kafka, Flink, Airflow)
  • Deep experience with modern unified data platforms like Databricks, and cloud data warehouses (e.g., Snowflake, Big Query, Redshift), with a strong understanding of Lakehouse architecture
  • Strong programming skills in at least one language, such as Python, Scala, or Java.

Benefits

  • 401(k) plan with matching company contributions
  • Comprehensive Medical, Dental & Vision Care
  • Paid parental leave at 100% of salary
  • Paid Time Off and Company Holidays
  • Early access to earned wages through Daily Pay

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