- Databricks Lead / Architect will own end-to-end solution design and provide hands-on technical
- leadership across Databricks and cloud data platforms. The role involves translating business and data
- requirements into scalable architectures, establishing engineering standards, guiding development
- teams, driving modernization and migration initiatives, and working closely with clients, architects and
- technology leadership.

- Key Responsibilities
- • Design and implement enterprise-scale Databricks Lakehouse architectures.
- • Define architecture across Azure, AWS and GCP based on business and technical requirements.
- • Design data ingestion, transformation and processing using Databricks, Spark, PySpark, SQL and
- Python.
- • Establish Lakehouse architecture, including Delta Lake, Medallion Architecture and data
- modelling.
- • Design batch and real-time data processing and integration solutions.

- - Experion Technologies Experion Confidential Page 2 of 3
- DOC ID: Experion/TA/FM/02/V2.1
- • Architect and implement Databricks Workflows, Jobs, Unity Catalog and governance
- capabilities.
- • Define data security, access control, lineage, quality, monitoring and governance standards.
- • Design scalable and optimized solutions for performance and cloud cost.
- • Lead migration and modernization of legacy data platforms to Databricks.
- • Integrate Databricks with cloud-native services across Azure / AWS / GCP.
- • Establish CI/CD, Git,



DevOps and deployment standards for data engineering.
- • Provide technical leadership through design reviews, code reviews and engineering standards.
- • Guide and mentor Data Engineers and technical teams.
- • Conduct POCs and evaluate new Databricks/cloud capabilities.
- • Work with business stakeholders, project managers and enterprise architects to translate
- requirements into technical solutions.
- • Support estimation, solution proposals, technical presentations and client discussions.
- • Adhere to the Information Security Management policies and procedures.

- Mandatory Skills
- • 10+ years of experience in Data Engineering / Data Architecture.
- • Strong hands-on experience with Databricks and Lakehouse architecture.
- • Robust knowledge of Apache Spark, PySpark, Python and SQL.
- • Experience with Delta Lake and Medallion Architecture.
- • Strong experience in data modelling, ETL/ELT and data integration.
- • Experience designing scalable batch and real-time data solutions.
- • Strong knowledge of at least one major cloud platform: Azure, AWS or GCP.
- • Understanding of cloud data services and integration patterns.
- • Experience with Databricks Workflows/Jobs and Unity Catalog.
- • Strong understanding of data security, governance, quality and lineage.
- • Experience with CI/CD, Git and DevOps practices.
- • Strong solution architecture and technical leadership skills

📌 Databricks Architect (Kochi)
🏢 Experion
📍 Kochi