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Lead DevOps Data Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 10,001+Since 1986H1B No SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California | Washington

Posted

61 days ago

Salary

$160K - $210K / year

Seniority

Senior

Job Description

Lead DevOps Data Engineer

SS&C Technologies

• Lead the design, development, and implementation of robust, scalable, and secure data pipelines and data warehouses using cloud-native services and PostgreSQL. • Drive the adoption and implementation of DevOps principles and practices (CI/CD, infrastructure as code, automated testing, monitoring) across data engineering initiatives. • Mentor and guide a team of data engineers, fostering their technical growth and ensuring adherence to engineering best practices and architectural standards. • Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and translate them into efficient and effective data solutions. • Help teams to optimize and maintain queries essential in data pipelines, reporting, and analytics. • Troubleshoot and resolve complex data-related issues, optimizing performance and ensuring data integrity. • Evaluate and recommend new technologies and tools to enhance our data platform capabilities and operational efficiency. • Develop and maintain comprehensive documentation for data architecture, pipelines, and operational procedures. • Participate in on-call rotations as needed to support critical data infrastructure.

Job Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field; Master's degree preferred.
  • 7+ years of experience in data engineering, with at least 3 years in a lead or senior role focusing on DevOps practices.
  • Proven expertise in designing and building large-scale data pipelines using ETL/ELT tools and techniques utilizing PostgreSQL.
  • Expertise in scripting languages such as Python or Java, and strong SQL skills.
  • Solid experience with Infrastructure as Code (IaC) tools like Terraform.
  • Demonstrated experience with CI/CD pipelines (e.g. Github actions, Airflow, PySpark) for data solutions.
  • Experience with containerization technologies (Docker, Kubernetes).
  • Strong understanding of data warehousing concepts, dimensional modeling, and data lake architectures.
  • Excellent leadership, communication, and interpersonal skills with the ability to mentor and guide technical teams.
  • Ability to work effectively in a fast-paced, collaborative, and agile environment.

Benefits

  • 401k Matching Program
  • Professional Development Reimbursement
  • Flexible Personal/Vacation Time Off
  • Sick Leave
  • Paid Holidays
  • Medical, Dental, Vision
  • Employee Assistance Program
  • Parental Leave
  • Discounts on fitness clubs, travel, and more!

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