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Platform Engineer – Data

3 months ago

Philadelphia, United States Tata Consultancy Services Full time

Platform Engineer – Data JD


Job Location: Philadelphia, PA


Relevant experience (in years): 14-15 years


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.


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


Generic Managerial Skills: Communication & Leadership


Desired Skills: Microsoft Platform Architecture


Qualifications: BACHELOR OF COMPUTER SCIENCE