Associate Information Data Architect (REMOTE)

Hanover Insurance Group, Inc.; Worcester (MA); A distancia; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Hanover Insurance Group, Inc. is seeking an Associate Information Data Architect to join our Worcester, MA area team with an option for remote work.

The role delivers trusted analytics, data products, and insights across the organization, leveraging Azure-based data ecosystems (ADF, Synapse, ADLS, Azure SQL, Python) to transform complex data into curated datasets and actionable intelligence. It requires collaboration with stakeholders to design KPI logic and support data migration efforts.

Formación

• Bachelor’s degree preferred.
• Authorization to work in the United States without sponsorship.
• 2+ years of experience in data engineering, ETL, data modeling, analysis, validation, or analytical solution delivery.
• Strong proficiency with SQL for data analysis and data profiling.
• P&C insurance experience preferred, including understanding of operational and financial metrics.
• Advanced Excel, Power BI and other visualization tools.

Responsabilidades

• Translate reporting and analytical requirements into analytical datasets, metric definitions, and reporting solutions.
• Design and document source-to-target mappings, transformation logic, and data lineage for cross-system integrations.
• Conduct deep data analysis to validate logic, resolve discrepancies, and support modernization or migration initiatives.
• Respond to ad hoc and urgent requests by delivering accurate, timely information in a fast-paced environment.
• Communicate complex data concepts clearly to technical and business audiences.
• Collaborate with product owners to define and document KPIs, metric logic, and shared business rules.
• Create and maintain curated analytics datasets for dashboards and self-service analytics.
• Perform data profiling, quality checks, and reconciliation using SQL and Python.

Conocimientos

SQL for data analysis

Python

Data profiling

ETL

Azure Data Factory

Synapse

Informatica

KPI design

Data governance

Excel

Educación

Bachelor’s degree preferred

Herramientas

XPath

Power BI

Azure DevOps

Descripción del empleo

We are currently seeking an Associate Information Data Architect to join our organization in our Worcester, MA office or remote work arrangement.

POSITION SUMMARY:

TheAssociateInformation DataArchitectplays a key role in delivering trusted, high‑quality analytics, data products, and insights that support strategic and operational decision‑making across the organization. Working within a modern Azure-based data ecosystem (ADF, Synapse, ADLS, Azure SQL, Python), this role transforms complex data into curated datasets, automated reporting, and actionable intelligence for teams across a wide range of business domains.

TheAssociate Information Data Architectcollaborateswith business stakeholders, architects, and engineering teams to translate requirements into scalable analytical solutions; design and govern KPI logic;validatedata quality; and support both legacy (Informatica) andcloudnativedata platforms. Success in this role requires the ability to conceptualize solutionsend‑to‑end, innovate within evolving cloud and data environments, drive results under tight timelines, build consensus across diverse stakeholders, and communicate complex concepts clearly to both technical and business audiences.

This a full time, exempt position.

IN THIS ROLE, YOU WILL:

Analytical&ArchitecturalResponsibilities

• Translate reporting and analytical requirements into analytical datasets, metric definitions, and reporting solutions.

• Design and document source‑to‑target mappings, transformation logic, and data lineage for cross-system integrations.

• Conductdeep‑divedata analysis tovalidatelogic, resolve discrepancies, and support modernization or migration initiatives.

• Respond to ad hoc and urgent requests by deliveringaccurate,timelyinformation in a fast‑paced environment.

• Communicate complex data concepts clearly through written and verbal channels for both technical and business audiences.

• Collaborate with product owners to define and document KPIs, metric logic, and shared business rules.

Technical & Data Responsibilities

• Create andmaintaincurated analytics datasets (SQL views, tables, semantic layers) for dashboards and self‑service analytics.

• Perform data profiling, quality checks, and reconciliation using SQL and Python to ensure accuracy and completeness.

• Parse, transform, andvalidateXML/JSON using Python, XPath, and schema rules; ensure consistency across systems.

• Maintain source‑to‑target mappings supporting Azure Data Factory, Synapse, and Informatica workflows.

• Improve analytics performance through query optimization, semantic modeling, and scalable dataset design.

• Support data governance through documentation, lineage tracking, and adherence to data management standards.

Cloud & Platform Responsibilities

• Collaborate with Data Engineering to translate requirements into cloud‑based data pipelines (ADF, Synapse, Informatica).

• Work with architecture and engineering teams to align datasets with enterprise data models and Azure standards.

• Support Azure and Fabric monitoring (pipeline health, data freshness, validation checks) to ensure SLA adherence.

• Validate and analyze data stored in ADLS containers, ensuring correct structure and schema.

• Work with Delta Lake and Parquet files to perform integrity checks and ensure consistency across storage layers.

• Conduct reconciliation and quality verification as data moves through cloud storage zones.

Collaboration

• Contribute totoolenhancements, process improvements, and innovation initiatives.

• Bachelor’s degree preferred.

• Authorization to work in the United States without current or future sponsorship (U.S. citizen or lawful permanent resident).

• 2+ years of experience ina related field such asdataengineering, ETL, datamodeling,analysis, validation, reporting, or analytical solution delivery.

• Strongproficiencywith SQL for data analysis, dataprofilingand qualitywith large and complex datasets.

• P&C insurance experienceis stronglypreferred, includingunderstandingofoperational and financial metrics.

• Strong analytical and problem‑solving skills.

• Advanced Excel,PowerBIand other visualization tools; ability to translate data into meaningful insights.

• Excellent written and verbal communication skills.

• Strongtimemanagement, prioritization, and organizational skills.

• Knowledge oftechnical mapping, including database schema, XML schema, and JSON schema.

• Hands‑on experience with Azure Data Factory, Synapse (SQL & Spark), ADLS, Azure SQL, and Azure DevOps (CI/CD).

• Python experience for data wrangling, XML/JSON parsing,XPath, automation, and validation.

• Experiencecreating semantic models and analytical datasets for BI platforms.

• Understanding of KPI design, data governance, lineage, and business glossary concepts.

• Ability to work across legacy (Informatica) and cloud platforms andvalidatelogic during migrations.

• Ability to plan for future capability needs and continuous improvements.

PREFERRED SKILLS

• Data quality frameworks and automated testing with SQL/Python.

• Synapse Spark /PySpark; Delta Lake and notebook development.

• Experience withMicrosoft Fabric (datasets, pipelines, governance).

• Exposure toMicrosoft Purview or similar metadata/lineage tools.

• Experience with Parquet, partitioning, and performance optimization inlakehousearchitectures.

• Exposure toAzure DevOps CI/CD (YAML, Git branching).

• Exposure toEvent streaming (Event Hubs, Service Bus)and APIs/Web Services(REST/SOAP).