Job Summary
We are looking for a visionary Data Architect / Principal Data Consultant to help organizations solve complex data challenges. In this role, He/She will bridge the gap between business problems and technical solutions. He/She will meet with stakeholders, evaluate their current data state, and design modern data solutions. He/She will also recommend the best technologies to drive business growth and efficiency.
JD
- Analyze Needs: Partner with business leaders to understand their data pain points and goals.
- Design Systems: Architect scalable, secure, and modern data platforms and pipelines.
- Select Technology: Evaluate and recommend the best tools (Cloud, SQL/NoSQL, ETL, AI/ML).
- Define Roadmap: Create step-by-step blueprints for data migration, storage, and analytics.
- Lead Teams: Guide engineering teams during the implementation of your proposed solutions.
- Ready to Travel
· Experience: 15+ years in data engineering, data architecture, or data consulting.
· Tech Skills: Deep expertise in cloud platforms (AWS, Azure, or GCP) and modern data tools (Snowflake, Databricks, Spark, DBT).
· Strategy: Proven ability to turn abstract business problems into concrete technical designs.
· Communication: Excellent skills in explaining complex tech concepts to non-technical executives.
· Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Key Responsibilities
- Analyze Needs: Partner with business leaders to understand their data pain points and goals.
- Design Systems: Architect scalable, secure, and modern data platforms and pipelines.
- Select Technology: Evaluate and recommend the best tools (Cloud, SQL/NoSQL, ETL, AI/ML).
- Define Roadmap: Create step-by-step blueprints for data migration, storage, and analytics.
- Lead Teams: Guide engineering teams during the implementation of your proposed solutions.
- Ready to Travel
· Experience: 15+ years in data engineering, data architecture, or data consulting.
· Tech Skills: Deep expertise in cloud platforms (AWS, Azure, or GCP) and modern data tools (Snowflake, Databricks, Spark, DBT).
· Strategy: Proven ability to turn abstract business problems into concrete technical designs.
· Communication: Excellent skills in explaining complex tech concepts to non-technical executives.
· Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Skill Requirements
Deep expertise in cloud platforms (AWS, Azure, or GCP) and modern data tools (Snowflake, Databricks, Spark, DBT).