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 solid 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 up-to-date data transformation frameworks.
Healthcare data controls, data governance, privacy, and quality standards.

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