Position Details
About this role
This role involves leading data architecture projects for public sector clients, leveraging open-source big data tools and cloud platforms to deliver scalable data solutions.
Key Responsibilities
- Designing data architectures
- Supporting public sector clients
- Implementing big data solutions
- Collaborating with product teams
- Guiding customer integrations
Technical Overview
Focuses on designing and implementing distributed data systems using Apache Spark, MLflow, Delta Lake, Hadoop, Kafka, and cloud services like AWS, Azure, GCP.
Ideal Candidate
The ideal candidate is a mid-level solutions architect with 5+ years of experience in data engineering and cloud platforms, supporting public sector clients and designing distributed data systems using Apache Spark, MLflow, and Delta Lake.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with public sector clients, Less than 5 years of relevant experience, No experience with Apache Spark or open-source data tools
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