Platform Engineer

1 month ago

Philadelphia, United States Tata Consultancy Services Full time

Job Title

Platform Engineer - Data


Technical/Functional Skills

Platform Engineer /Architecture for Data Platforms either Cloud-based or On-Prem (Databricks, Snowflake, Superset, etc.).Python or scripting language


Experience Required

  • 14+ years' experience with designing, building, implementing, and supporting data warehouse, business intelligence, and data analytic platforms or solutions.
  • Technical expertise in all aspects of Data platforms/products such as Snowflake, Databricks, Superset, Kubernetes, etc.
  • Platform Administration experience involving configuration, data migration and security implementation.
  • &n bsp; Hands-on experience in administering Snowflake in AWS
  • Expertise in Big Data Platform Architecture and Enterprise data capabilities
  • Experience with Cloud platform technologies and Networking (e.g. AWS, Snowflake)
  • Experience with architecting and maintaining high availability production systems.


Roles & Responsibilities

  • Work as platform admin on Snowflake or Databricks on AWS i.e., Configuration, Data migration and security
  • Assess platform landscape options and propose technology solutions
  • Assess and work on a diverse set of data-oriented platforms, technologies, and their seamless integrations (Security, SAML, SSO/OAuth, Kerberos, Policies, BI/Reporting, etc.)
  • Conduct architecture review & audit for a complex, multi-technology solution landscape
  • Conceptualize, define, document and review solution architecture for a data/technology platform
  • Design and present best-fit solution proposition to the customer convincingly, in terms of architecture & vision to address complex business problems
  • Perform solution integration and solution landscape prototyping, troubleshooting & optimization
  • Establish and execute the platform evolution/customization roadmap to align with customer's goals and vision
  • Design, optimize, document, and implement the operational aspects in supporting the Cloud data platforms, including cost monitoring and optimizations, user security auditing
  • Implement/support automation for production deployment in Data Platforms (Snowflake, Databricks, Superset, etc.)
  • Implement Data Platform standards and methodologies for DB security – both infrastructure and app level
  • Implement/support automation for administering platforms - Accounts/Databases and access roles
  • Lead, guide and closely work with the data architects in the team

Education

Bachelor’s Degree

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