Databrick Architect

Role & responsibilities -

A Data Architect designs, implements, and manages scalable data solutions on the IICS and Databricks platform. This role involves collaborating with business stakeholders to develop data pipelines, optimize performance, and ensure best practices in data handling and analytics.

Key Responsibilities:

Solution Design & Architecture : Design end-to-end data pipelines and architectures on Databricks.

Data Engineering & Development : Develop ETL/ELT processes to ingest, transform, and load data from various sources.

Platform Management: Configure and manage Databricks clusters. Ensure compliance with data governance, security, and privacy regulations.

Best Practices & Innovation : Stay updated with the latest Databricks features and industry trends.

Required Skills & Qualifications:

Technical Skills:

Proficiency in Databricks and associated tools. Strong coding skills in Python, Scala, or SQL. Experience with cloud platforms ( AWS). Knowledge of data warehousing, ETL/ELT pipelines, and big data processing.

Soft Skills:

Excellent problem-solving and analytical skills.
Strong communication and stakeholder management abilities.
Ability to work independently and lead cross-functional teams.