Technical Lead – Data & .NET Engineering

About Zywave

Zywave is a global leader in building market-leading SaaS products that transform and disrupt the insurance industry. With our innovative solutions, we empower brokers and agencies with cutting-edge tools for client engagement, analytics, and growth. Our culture thrives on innovation, collaboration, and continuous improvement, and we are expanding our Product Development team to drive our next wave of growth.

Job Title:

Technical Lead – Data & .NET Engineering

Experience:

Location:

Work Mode:

Job Summary

GIT, Snowflake, ELT tools, SQL Server, and .NET technologies

Key Responsibilities

1. Lead the design, development, and optimization of data pipelines, ETL/ELT workflows, and backend systems.
2. Architect and implement scalable solutions using

   Snowflake

   and

   SQL Server

   .
3. Collaborate with cross-functional teams including Data Engineering, DevOps, Product, and Architecture to build robust solutions.
4. Drive best practices in source control (

   GIT

   ), code quality, deployment processes, and documentation.
5. Develop backend components and APIs using

   .NET technologies

   .
6. Troubleshoot complex data and system issues, ensuring high availability and performance.
7. Mentor and guide team members, perform code reviews, and foster technical excellence.
8. Stay current with modern data engineering and cloud practices, recommending relevant improvements.

Qualifications & Skills

Mandatory Skills

1. Strong experience with

   GIT

   for version control and branching strategies
2. Hands-on expertise in

   Snowflake

   (data modeling, performance tuning, pipeline design)
3. Experience with

   ELT/ETL tools

   (Matillion, Informatica, Fivetran, etc.)
4. Solid proficiency in

   SQL Server

   (T-SQL, performance tuning, stored procedures)
5. Strong development background in

   .NET / C#

Good to Have Skills

1. Understanding of

   Prompt Engineering

   and AI-driven data workflows
2. Working knowledge of

   Kafka

   and

   Spark Streaming

3. Experience with

   AWS data services

   (Glue, Lambda, S3, Redshift, etc.)
4. Exposure to

   DBT

   for data transformations
5. Experience in building scalable data platforms or real-time data solutions

Soft Skills

1. Strong analytical and problem-solving ability
2. Excellent communication and stakeholder management
3. Leadership qualities with experience mentoring teams
4. Ability to work in Agile/Scrum environments