Experience: 12+ Years

Job Description:

We are looking for an experienced Data Engineering Architect to lead the design and implementation of scalable, high-performance data platforms using Python, SQL, Snowflake, and PySpark. The candidate should have strong expertise in data architecture, cloud data warehousing, and enterprise data engineering solutions.

Key Responsibilities:

- Define and lead data architecture, data modelling, and engineering strategies for enterprise-scale data platforms.
- Design scalable ETL/ELT pipelines using Python, SQL, Snowflake, and PySpark.
- Drive Snowflake architecture, query optimization, performance tuning, and cost efficiency.
- Establish data engineering best practices, CI/CD standards, and automated deployment processes.
- Lead technical design reviews,



mentor engineering teams, and collaborate with stakeholders to translate business requirements into technical solutions.

Must-Have Skills:

- Advanced Python and SQL.
- Snowflake architecture and optimization.
- PySpark and distributed data processing.
- Enterprise data modelling and data warehouse design.
- CI/CD, version control, and deployment strategies.

Positive to Have:

- Apache Kafka and real-time data processing.
- dbt and modern data transformation frameworks.
- Healthcare data controls, data governance, privacy, and quality standards.

📌 Snowflake Data Engineering Architect - Immediate Joiner (Gurugram)
🏢 Kezan consulting
📍 Gurugram