Data Platform Lead
1 day ago
Job Summary:
We are looking for a highly skilled and hands-on
Data Platform Lead
with deep expertise in
Python
,
API development
, and
GenAI technologies
. The ideal candidate will have a proven track record of implementing complex data solutions, coordinating effectively with infrastructure teams and customers, and solving challenging technical problems with creativity and precision.
Key Responsibilities:
- Hands-on Implementation
: Architect, develop, and maintain scalable data platforms using Python, APIs, and modern data technologies. - GenAI Integration
: Apply GenAI tools for code generation, SQL optimization, anomaly detection, and intelligent automation. - Infrastructure Coordination
: Collaborate closely with infrastructure teams to ensure seamless deployment, scalability, and performance of data solutions. - Customer Engagement
: Act as a technical liaison with internal and external stakeholders to gather requirements, provide updates, and ensure satisfaction. - Problem Solving
: Lead troubleshooting efforts for complex data issues, performance bottlenecks, and integration challenges. - Platform Modernization
: Drive initiatives around cloud migration, real-time data processing, and AI-powered data monitoring. - Team Leadership
: Mentor junior engineers and foster a collaborative, innovative engineering culture.
Required Qualifications:
- 10+ years of experience in data engineering, software development, or platform architecture.
- Strong proficiency in
Python
, RESTful API development, and microservices architecture. - Hands-on experience with
GenAI tools
(e.g., GitHub Copilot, OpenAI Codex, Databricks AI functions). - Expertise in SQL performance tuning and query optimization.
- Experience with cloud platforms (Azure, AWS, GCP) and modern data stacks.
- Strong coordination skills with infrastructure and customer-facing teams.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications:
- Experience with data warehouse technologies (ClickHouse, Snowflake, BigQuery).
- Familiarity with agentic AI systems and autonomous data monitoring.
- Background in semiconductor, manufacturing, or high-tech industries.
- Contributions to open-source projects or technical publications.
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