Snowflake Data Engineering Architect - Immediate Joiner

Kezan Consulting; Gurugram District, Bengaluru, Delhi; Hybrid; INR 3,000,000 - 5,500,000; Full time

Job summary

Kezan Consulting seeks 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 will guide architecture, cloud data warehousing, and enterprise data engineering solutions.

Responsibilities include leading data architecture, defining ETL/ELT pipelines, optimizing Snowflake, and establishing CI/CD practices while mentoring teams and collaborating with stakeholders.

Qualifications

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

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 translate business requirements into technical solutions.

Skills

Python

SQL

Snowflake

PySpark

Data modelling

CI/CD

Job description

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.

Good to Have:

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