Position Details
About this role
This leadership role involves defining and implementing data storage and consumption strategies, leveraging cloud and big data technologies to optimize business outcomes.
Key Responsibilities
- Define data ecosystem roadmap
- Lead data architecture design
- Ensure data security and governance
- Optimize data processing performance
- Mentor data engineering teams
Technical Overview
The position requires expertise in cloud-based data platforms like Databricks and Snowflake, data security and governance, performance tuning, and mentoring engineering teams on data architecture and pipelines.
Ideal Candidate
The ideal candidate is a senior data engineer or architect with extensive experience in data storage, processing, and governance, particularly with Databricks, Snowflake, and AWS. They possess leadership skills to mentor teams and drive data ecosystem strategies.
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 Databricks or Snowflake, No experience with AWS cloud, No background in data architecture or security, No leadership or mentoring experience, Experience only in non-data roles
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