Job Title |
Platform Engineer - Data |
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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. • &nb sp; Platform Administration experience involving configuration, data migration and security implementation. • 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 • &nb sp; 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 |
Generic Managerial Skills |
Communication & Leadership |
Education |
Bachelor’s Degree |
More Information
Application Details
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Organization Details
TCS / Tata Consultancy Services
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