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
