Data Engineer

Lyneer Search Group

New York (NY)

Hybrid

USD 180,000 - 300,000

Full time

9 days ago

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Benefits offered by this job

Hybrid work model
Competitive compensation

Job summary

Lyneer Search Group in New York is seeking a founding Head of Data Engineering to own the data strategy and architecture for a US specialty insurance platform.

You will lead a greenfield data ecosystem with Snowflake, dbt, and Kafka, guiding governance, performance, and cloud partnerships while collaborating with group engineering, finance, actuarial, and leadership.

Qualifications

  • 10+ years in data engineering, data architecture, or enterprise data platform leadership.
  • Hands-on command of Snowflake, dbt, and event streaming such as Kafka.
  • Executive presence with senior stakeholders and board-level audiences.
  • Knowledge of governance, regulatory, and data privacy considerations.

Responsibilities

  • Own strategy and architecture for the data platform across policy, claims, billing, and financial data.
  • Lead ingestion, validation, reconciliation, and analytics with modern tooling (Kafka, Snowflake, dbt).
  • Oversee governance, lineage, quality, and access control in line with NYDFS Part 500 and privacy obligations.
  • Collaborate across group engineering, finance, actuarial, and technology leadership to deliver at scale.

Skills

Data architecture
Data engineering
Executive presence
Stakeholder management

Education

MBA
Bachelor's in a relevant field

Tools

Snowflake
dbt
Kafka

Job description

lInsurance · U.S. specialty platform buil

d
Locati
on New York,

NYSchedule Hybr

idReports to Head of Technolo

gyLine E&S / specialty P&

;C
The client and the opportun

ityOur client is the U.S. specialty insurance platform of a large international insurance group, backed by the group's global capital and data capabilities. The platform is in build mode, and this is a founding leadership seat. The client is named under NDA once mutual interest is establish

ed.
The Head of Data Engineering owns the enterprise data strategy and the design, build, and operation of the entire data ecosystem. Every underwriting decision, pricing model, claim outcome, regulatory filing, and dollar reported to the parent group depends on this platform. The leader sets the data agenda, owns it end to end, and is accountable at the executive level, building with leverage rather than headcount across group data teams, a strategic cloud data partnership, and contracted vendor te

ams.
What you'l

  • l ownStrategy and architecture. How data is captured, modeled, governed, and distributed, plus the canonical data model for policy, claim, billing, and financial data, enforced across all vendor platforms with authority to accept or reject integrat
  • ions.The platform, greenfield to production. Kafka event ingestion, a Snowflake analytics hub, dbt transformation layers, and the semantic and reporting layers above them, with reliability, scalability, and cost owned as a production opera
  • tion.Bordereaux automation. Ingestion, validation, and reconciliation across MGA programs, TPA claims feeds, and reinsurer repor
  • ting.Financial and regulatory data. One transaction-level spine serving US GAAP, US Statutory, and IFRS 17, plus the data behind statutory filings, NAIC reporting, AM Best submissions, and state examinat
  • ions.Governance, analytics, and AI enablement. Ownership, stewardship, lineage, quality, and access control enforced in the architecture, including NYDFS Part 500 and state privacy obligations, and the data foundation under every analytics and AI capabi
  • lity.Extended team and group relationships. A leveraged delivery model across group engineering and vendor partners, and the data relationship with group finance, actuarial, and technology leadership over

seas.
What the client is looki

  • ng for10+ years in data engineering, data architecture, or enterprise data platform leadership, with accountability for production platforms at
  • scale.Deep hands-on command of Snowflake, dbt, and event streaming such as
  • teams.Working knowledge of U.S. excess and surplus specialty products and underwriting dyn
  • , MBA.Executive presence with senior stakeholders and board-level audi

ences.
What you'

  • ll gainFounding ownership of the data strategy for a new specialty platform, with executive visi
  • bility.Competitive compensation, executive incentive, and long-term incentive eligi
  • bility.Hybrid working, with travel up to 25% for leadership, planning, and client engag
  • ements.Comprehensive health, wellness, retirement, and financial wellbeing pr
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