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Lead Data Engineer, Tableau Enterprise Data Platform team

Company: Tableau
Location: Seattle
Posted on: June 12, 2021

Job Description:

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Products and Technology

Job Details

Tableau's Enterprise Data Platform (EDP) team is responsible for engineering and operating Tableau's best in class data platform supporting 5,000+ global employees. EDP's Technology team engineers and operates our cloud data lake on Snowflake and several platform-as-a-service (PaaS) tools used by data engineers, scientists, analytics engineers and anyone working with data flows at Tableau. The team develops mainly in Python, owns the full DevOps lifecycle for our systems deployed on Airlfow, Kubernetes and AWS.

Role Description:

We are looking for a Lead Data Engineer to drive the technology and design for the data platform. You will lead the design and development of new features and systems in the platform. In addition to leading the design, you will be mentoring a small team of dedicated developers to expand their skills and capabilities. This role will explore new technologies and architecture, including cloud data platforms, design as code, microservice API architecture and designing full CI/CD pipelines for the technology.

Your Impact:

Success in this role will be measured by the adoption of our data platform at Tableau, performance of EDP's systems and performing the required role tasks including:

  • Understand and support the current architecture.
  • Expand the design with a Microservice based API.
  • Mentor team members and help them grow their own careers.
  • Leading development projects from design to deployment and operations.
  • Define, track, and analyze performance and uptime metrics for the Opal data warehouse and the Enterprise Data Platform.
  • Handle On Call support as a regular member of the On Call operations across the team.

Proficient Experience:

  • Cloud data architecture and DevOps experience including roles, security, storage, ingress and egress.
  • Python development.
  • Database development including table designs, sql code and sql optimization
  • ETL or ELT (Extraction Transform Load) development.
  • Kubernetes and Docker.

Helpful Experience:

  • Excellent interpersonal and communications skills.
  • Modular and Service based Architectural Design
  • Amazon Web Services (AWS) - IAM Roles and Policies, EKS, S3, Lambda, Route 53, EC2, Cloudwatch, Cross Account Security and Access
  • Experience with Snowflake or similar MPP database architecture.
  • Terraform
  • Airflow
  • Git CI/CD


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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits. and are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. and do not accept unsolicited headhunter and agency resumes. and will not pay any third-party agency or company that does not have a signed agreement with or

Salesforce welcomes all.

Keywords: Tableau, Seattle , Lead Data Engineer, Tableau Enterprise Data Platform team, Other , Seattle, Washington

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