Cloud Databricks Architect

About ARAs Client

ARAs Client is a global leader in end-to-end data and analytics solutions, with nearly two decades of experience helping enterprises unlock value from data-driven capabilities. Operating at the scale of a global consulting firm with the agility of a niche specialist, ARAs Client partners with customers worldwide on large-scale data modernization and analytics transformation initiatives.

With a strong presence in India and a growing global footprint, ARAs Client is known for its high-performance culture, reusable analytics accelerators, and focus on continuous learning and innovation.

Role Summary

Design and optimize cloud-native data architectures on platforms like Databricks and Snowflake, enabling scalable data engineering, advanced analytics, and AI/ML solutions aligned with business needs.

Key Responsibilities

• Design and implement Lakehouse architectures using Databricks, Delta Lake, and Apache Spark.
• Lead the development of data pipelines, ETL/ELT processes, and data integration strategies.
• Collaborate with business and technical teams to define data architecture standards, governance, and security models.
• Optimize performance and cost-efficiency of Databricks clusters and jobs.
• Provide technical leadership and mentorship to data engineers and developers.
• Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and enterprise systems.
• Evaluate and recommend tools and technologies to enhance the data ecosystem.
• Ensure compliance with data privacy and regulatory requirements.
• Contribute to proposal and pre sales activities.

Must-Have Qualifications

• Expertise in data engineering, data architecture, or analytics.
• Hands-on experience on Databricks and Apache Spark.
• Hands-on experience on Snowflake
• Strong proficiency in Python, SQL, and PySpark.
• Deep understanding of Delta Lake, Lakehouse architecture, and data mesh principles.
• Deep understanding of Data Governance and Unity Catalog.
• Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).

Good to have Skills:

• Good understanding of the CI/CD pipeline
• Working experience with GitHub
• Experience in providing data engineering solutions while maintaining balance between architecture requirements, required efforts and customer specific needs in other tools

Qualification:

• Bachelors degree in computer science, engineering, or related field
• Demonstrated continued learning through one or more technical certifications or related methods
• Over 10+ years of relevant experience in ETL tools
• Relevant experience in Retail domain