We are looking for an experienced data architect with strong expertise in Databricks to design and deliver large-scale cloud data transformation and modern data platform solutions. The ideal candidate should have hands-on experience in data architecture, Apache Spark, lakehouse architecture, and cloud data platforms.

Key Responsibilities

- Design and implement scalable, enterprise-grade data architectures using Databricks.
- Build modern Lakehouse solutions leveraging Delta Lake and Unity Catalog.
- Develop and optimize large-scale data pipelines using Apache Spark (PySpark).
- Design robust data models, including dimensional modeling, data vault, and lakehouse modeling.
- Build and optimize batch and real-time streaming data pipelines using Structured Streaming or Kafka.
- Lead cloud data modernization and migration initiatives.
- Implement data governance, security, metadata management, and compliance best practices.
- Collaborate with business stakeholders,



architects, and engineering teams to deliver scalable data solutions.

Required Skills

- 10+ years of experience in data engineering, data architecture, or data platform consulting.
- Minimum 4+ years of hands-on experience with Databricks.
- Strong expertise in Apache Spark / PySpark.
- Advanced SQL and Python programming skills.
- Experience with Lakehouse Architecture.
- Hands-on experience with Delta Lake and Unity Catalog.
- Strong understanding of data modeling (dimensional modeling, data vault, and lakehouse modeling).
- Experience building streaming data pipelines using Structured Streaming or Kafka.
- Robust knowledge of data governance, security, and compliance.
- Proven experience delivering enterprise-scale cloud data transformation programs

📌 Data Architect (Pune)
🏢 Canterr It Services
📍 Pune