Job Title
Platform Engineer - Data (on-site in Philadelphia, PA)
Relevant Experience
(in Yrs)
14+ Yrs
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
Education
Bachelor’s Degree
Work Location (State, City and Zip)
Philadelphia, PA
