Description
We are looking for a seasoned Data Architect (12+ years) who can lead solutioning, drive technical excellence, and build scalable data platforms for complex client needs.
Role Envisaged
- Solutioning developing solutions for specific client requirements.
- Coming up with ideas/solutions/proposals for pitching and help in conversion conversations.
- Developing Reference implementations on new technologies the technology maybe new in the market or maybe new to the client context.
- Technical review and oversight of projects.
- Team management responsibilities technical mentoring of the team, interviewing and identifying right candidates for the team and training to develop the skills.
- Thought leadership Develop a robust Data Engineering practice in conjunction with areas such as AI / Gen AI/ ML / AI Ops etc.
- Support alliances and partnerships AWS, Databricks, Azure, Snowflake, GCP etc.
Desired Experience
- 12+ years of experience in Data Engineering, architecting scalable solutions.
- Experience with modern data stack AWS / Azure / GCP / Databricks / Snowflake with some prior exposure to tools like Informatica etc.
- Hands on experience with Open-source stack for Lakehouse or Warehouse implementation.
- Strong technical experience in SQL, Python, PySpark.
- Demonstrated Tech leadership roles in recent past with significant exposure to pre-sales, solutioning and managing clients.
- Hands-on experience and good understanding of Data Modelling, Data Governance and Data Security tools and solutions.
- Working experience with big data (gigabytes to petabytes) in prior projects.
- Strong verbal and written communication skills.
(ref:hirist.tech)
