Technical Lead – Data Engineering

6 days ago

Pune, Maharashtra, India Zywave Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Description – Technical Lead (Data Engineering, TurboRater RQR: CPQ Rating)

Location:
Pune, India

Work Mode:
5 Days Work from Office

About the Role

Zywave is seeking a
Technical Lead – Data Engineering (TurboRater RQR: CPQ Rating)
with expertise in
Snowflake, SQL Server, and modern data architecture principles
including
Medallion Architecture
and
Data Mesh
.

This role will play a
critical part in the TurboRater RQR: CPQ Rating initiative
, leading the design and implementation of scalable, secure, and high-performance data pipelines that power rating and CPQ (Configure, Price, Quote) capabilities. The ideal candidate will combine
deep technical expertise
with
insurance domain knowledge
to drive innovation and deliver business impact.

Key Responsibilities

  • Lead end-to-end design and development of data pipelines supporting
    TurboRater RQR: CPQ Rating
    .
  • Architect and implement
    Medallion Architecture
    (Bronze, Silver, Gold layers) for structured and semi-structured data.
  • Drive adoption of
    Data Mesh principles
    , decentralizing ownership and promoting domain-oriented data products.
  • Collaborate with business/product teams to align CPQ Rating requirements with scalable technical solutions.
  • Ensure
    data quality, lineage, and governance
    across rating-related data assets.
  • Optimize workflows for
    rating performance, scalability, and cost-efficiency
    .
  • Mentor and guide engineers working on TurboRater initiatives.
  • Stay updated with
    data & insurtech innovations
    relevant to CPQ and rating platforms.

Qualifications

  • Bachelor's or Master's degree in
    Computer Science, Data Engineering, or related field
    .
  • 8+ years
    of experience in data engineering with at least
    3 years in technical leadership
    .
  • Strong hands-on experience with
    Snowflake
    (data ingestion, transformation, performance tuning).
  • Proficiency in
    SQL Server
    and
    T-SQL
    .
  • Deep understanding of
    Medallion Architecture
    and
    Data Mesh principles
    .
  • Experience with
    data orchestration tools
    (Airflow, dbt), cloud platforms (Azure/AWS), and CI/CD pipelines.
  • Strong leadership and problem-solving skills.
  • Knowledge of
    Python
    or
    Scala
    for data processing.
  • Exposure to
    real-time data streaming
    (Kafka, Spark Streaming).

Mandatory Skills

  • GIT
  • Snowflake
  • ELT tools
  • SQL Server
  • .NET
  • CPQ Rating / TurboRater exposure preferred

Good to Have Skills

  • Prompt Engineering
  • Kafka
  • Spark Streaming
  • AWS
  • dbt

Domain Advantage

Insurance domain knowledge
and prior work in
CPQ / Rating platforms
will be highly valued.

Why Zywave?

Zywave is a leading provider of insurtech solutions, empowering insurance brokers and agencies with cutting-edge software tools for client engagement, data analytics, and growth. With a global footprint and a commitment to innovation, Zywave fosters a culture of continuous improvement, collaboration, and impact.

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