Lead Snowflake Data Engineer

Medsuite Inc

full-time

Posted on: 9/22/2025

Origin: • 🇮🇳 India

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Senior

ApacheAzureCloudETLKafkaMatillionPythonSparkSQL

About the role

Lead the design, development, and maintenance of a scalable Snowflake data solution serving the enterprise data & analytics team
Architect and implement data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake and related technologies
Optimize Snowflake database performance, storage, and security, including Snowflake credit control and management
Provide guidance on Snowflake best practices and performance optimization
Collaborate with cross-functional teams of data analysts, business analysts, data scientists, and software engineers to define and implement data solutions
Ensure data quality, integrity, and governance across the organization
Provide technical leadership and mentorship to junior and mid-level data engineers
Troubleshoot and resolve data-related issues, ensuring high availability and performance of the data platform
Perform independent in-depth data analysis and data discovery to understand source systems, fact and dimension data models, and implement an enterprise data warehouse solution in Snowflake

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
7+ years of in-depth data engineering experience
At least 3+ years of dedicated Snowflake engineering experience
Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques
Strong experience with cloud platforms (preference to Azure) and their data services
Proficiency in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, or Fivetran
Hands-on experience with scripting languages like Python for data processing
Strong understanding of data governance, security, and compliance best practices
Snowflake SnowPro certification; preference to the engineering course path
Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC)
Knowledge of streaming data processing frameworks such as Apache Kafka or Spark Streaming
Familiarity with BI and visualization tools such as PowerBI
Familiarity working in an agile scrum team and using Azure Dev Ops
Ability to read, understand, and apply state/federal laws, regulations, and policies
Strong analytical, communication, time management, and interpersonal skills