Position: Platform Engineer - Data
Location: Philadelphia, PA
Duration: Full Time / Permanent
Job Description
Job Description
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.
- &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
Desired Skills
Microsoft Platform Architecture
Desired Candidate Profile
Qualifications : BACHELOR OF COMPUTER SCIENCE