Accountabilities
- Design and implement scalable data architecture solutions across cloud and hybrid environments.
- Leverage Databricks for data processing, analytics, and machine learning workflows.
- Collaborate with engineering and business teams to translate requirements into data models and pipelines.
- Orchestrate and monitor ETL workflows using Apache Airflow.
- Ensure data security, compliance, and governance standards are met.
- Optimize data storage, processing, and querying for performance and cost efficiency.
- Provide technical leadership and mentor teams on data best practices.

Essential Skills / Experience
- 10+ years in data architecture and analytics.
- Strong expertise in Databricks.
- Proficiency with at least one cloud platform (AWS, Azure, or GCP) and integrating Databricks with them.
- Solid understanding of data engineering, ETL, and data modelling principles.




- Advanced SQL for querying, transformation, and analysis.
- Proficiency in Python for scripting, automation, and data manipulation.
- Robust hands-on experience with Apache Airflow for workflow orchestration.
- Familiarity with big data technologies (Spark, Hadoop, etc.).
- Knowledge of data warehousing concepts and best practices.
- Proficiency in version control systems (Git).
- Excellent communication and collaboration skills.

Desirable Skills / Experience
- Relevant certifications in Databricks and cloud platforms.
- Experience defining data governance frameworks.
- Exposure to advanced ML/AI use cases with Databricks.
- Hands-on work with containerization/orchestration tools (Docker, Kubernetes).

📌 Data Architect (Hyderabad)
🏢 Agilisium
📍 Hyderabad