Overview
Hybrid
Depends on Experience
Full Time
Skills
Reinsurance
P&C
Job Details
Job title: Data engineering reporting lead
Location: New York City, NY / Norwalk, CT /Princeton, NJ
Hybrid 3 days onsite, 2 days remote
Tuesdays are anchor days; remaining onsite days are flexible based on team or individual preference
Fulltime
Must Have:
DOMAIN EXPERTISE (NON-NEGOTIABLE):
Reinsurance domain experience is a must. If unavailable, strong P&C (Property & Casualty) insurance experience is required.
The candidate should be familiar with industry-specific data, metrics, and reporting expectations within re/insurance.
JOB DESCRIPTION:
We are seeking a talented individual to join our Data Engineering team. This role will be based in the New York City, NY OR Norwalk, CT OR Princeton, NJ office.
As a Re/Insurance Data Engineering and Reporting Lead, you will play a critical role in implementing the target data architecture for the organization, interacting with cross-functional teams to ensure the highest quality, efficiency, reliability, security, and availability of data.
RESPONSIBILITIES:
Lead the data engineering and reporting efforts to migrate our on-premise data assets to the Azure cloud.
Oversee technology activities to deliver meaningful, data-driven capabilities aligned with business strategies, optimizing data solutions for scalability, security, and performance.
Develop, implement, and deploy data products using Azure Databricks and Power BI to support business intelligence dashboards and reporting needs.
Provide subject matter expertise in data processing and exploration leveraging Azure Databricks.
Build best-in-class ETL/ELT solutions for effective data ingestion and transformation, implementing and managing DBT workflows to ensure data quality and consistency.
Collaborate with stakeholders to design and implement scalable and maintainable data models while ensuring adherence to data governance and compliance standards.
Identify and address performance bottlenecks in dashboards, reports, data models and queries. Implement models and strategies to optimize data consumption by business stakeholders
Produce design documentation and responsible for solution delivery.
Define development best practices and standards, enforced through code reviews.
QUALIFICATIONS:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10+ years in the data and analytics space with extensive experience delivering enhanced data and analytics capabilities.
8+ years of hands-on experience designing and implementing data consumption solutions using Azure cloud offerings, including ADLS, Azure Databricks, Azure Synapse, and Power BI.
Expertise in modern data architecture patterns and advanced SQL, preferably using DBT or similar tools. Expertise in data modeling for reporting and analytics.
5+ years of experience supporting Power BI reporting as an enterprise platform and working within the reinsurance domain.
5+ years working within the reinsurance domain is necessary for success.
Experience migrating on-premises data, reporting, and analytics assets to cloud technologies, along with a solid understanding of DevOps, Git integration, and CI/CD pipelines.
TECHNICAL OVERSIGHT:
The candidate needs to have done Reporting and BI and needs to understand data modeling from a reporting and BI standpoint and then be able to solution it with Power BI and Databricks. Building out data models that supports reporting self-serve analytics for business community, so building out those data models that will enable the users to self-serve from Databricks and Power BI. Using Power BI as an Enterprise Platform Solution not just Power BI where use as a budling Ad Hoc on their desktop and then sharing with other users.
The candidate must demonstrate the ability to review and sign off on technical solutions, ensuring adherence to established standards and the absence of performance issues. This includes a comprehensive understanding of Power BI, DAX statements, and data modeling techniques such as star schema and tabular models.
EXPERIENCE REQUIREMENTS:
10+ years of experience in the data and analytics space with hands-on delivery of enterprise data solutions.
8+ years of experience with Azure data services including Azure Databricks, ADLS, Azure Synapse
5+ years of experience supporting Power BI reporting as an enterprise platform and working within the reinsurance domain.
5+ years working within the reinsurance domain is necessary for success.
Regards,
Vinay Ram (Direct) Desk: Suwanee, GA - 30024 An MBE & eVerify Company |
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