Associate Information Data Architect (HYBRID)

For more than 170 years, The Hanover has been committed to delivering on our promises and being there when it matters the most. We live our values every day, demonstrating we CARE through our values, Sustainability initiatives and inclusive corporate culture.

We are currently seeking an Associate Information Data Architect to join our organization in our Worcester, MA / Windsor, CT / or Michigan office, in a hybrid work arrangement.

POSITION SUMMARY:

The Associate Information Data Architect plays 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.

The Associate Information Data Architect collaborates with business stakeholders, architects, and engineering teams to translate requirements into scalable analytical solutions; design and govern KPI logic; validate data quality; and support both legacy (Informatica) and cloud native data platforms. Success in this role requires the ability to conceptualize solutions end-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 & Architectural Responsibilities

• 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‑dive 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 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 and maintain curated 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, and validate XML/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 to tool enhancements, process improvements, and innovation initiatives.

WHAT YOU NEED TO APPLY:

• 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 in a related field such as data engineering, ETL, data modeling, analysis, validation, reporting, or analytical solution delivery.
• Strong proficiency with SQL for data analysis, data profiling and quality with large and complex datasets.
• P&C insurance experience is strongly preferred, including understanding of operational and financial metrics.
• Strong analytical and problem‑solving skills.
• Advanced Excel, Power BI and other visualization tools; ability to translate data into meaningful insights.
• Excellent written and verbal communication skills.
• Strong time management, prioritization, and organizational skills.
• Knowledge of technical 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.
• Experience creating 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 and validate logic 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 with Microsoft Fabric (datasets, pipelines, governance).

• Exposure to Microsoft Purview or similar metadata/lineage tools.

• Experience with Parquet, partitioning, and performance optimization in lakehouse architectures.

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

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

CAREER DEVELOPMENT:

It’s not just a job, it’s a career, and we are here to support you every step of the way. We want you to be successful and fulfilled. Through on-the-job experiences, personalized coaching and our robust learning and development programs, we encourage you – at every level – to grow and develop.

BENEFITS:

We offer comprehensive benefits to help you be healthy, build financial security, and balance work and home life. At The Hanover, you’ll enjoy what you do and have the support you need to succeed.

Benefits include:

• Medical, dental, vision, life, and disability insurance
• 401K with a company match
• Tuition reimbursement
• PTO
• Company paid holidays
• Flexible work arrangements
• Cultural Awareness Day in support of IDE
• On-site medical/wellness center (Worcester only)
• Click here for the full list of Benefits

EEO statement:

The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law.

Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law.”

As an equal opportunity employer, Hanover does not discriminate against qualified individuals with disabilities. Individuals with disabilities who wish to request a reasonable accommodation to participate in the job application or interview process, or to perform essential job functions, should contact us at:View email address on aiapply.co and include the link of the job posting in which you are interested.

Privacy Policy:

To view our privacy policy and online privacy statement, click here.

Applicants who are California residents: To see the types of information we may collect from applicants and employees and how we use it, please click here .

Compensation:

The target hiring range for this role may vary based on geographic location and other factors, including merit or performance, demonstrated proficiency, skills for the role, education, travel requirements, and experience. Additional compensation may include an annual bonus (which could take the form of a general bonus, sales incentive, or short-term incentive), long-term incentive or spot recognition awards. The posted range reflects our ability to hire at different position titles and levels depending on background and experience.