Hylant Group Inc

Lead Data & Analytics Architect

Hylant Group Inc • $100K — $140K *
Indianapolis, IN 46227In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, data science, engineering, or related field preferred.
  • 6+ years of experience in data architecture or enterprise data platform design.
  • Insurance industry experience in data domains like policy, underwriting, claims, or risk.
  • Hands-on expertise with Azure technologies and experience in multi-cloud or hybrid environments.
  • Experience with AI/ML tools such as Azure Databricks and Microsoft Data Factory.
  • Strong SQL skills and proficiency in PySpark for data transformation.
  • Team management experience and familiarity with establishing Architecture Review Boards.

Responsibilities

  • Define and drive the enterprise data architecture vision aligned with business objectives and analytics needs.
  • Design application architecture, covering platforms, tools, and data models.
  • Translate business requirements into scalable and secure data architecture designs.
  • Lead the creation and optimization of analytical data models and end-to-end data pipelines.
  • Establish data governance frameworks and ensure data quality across all stages of data lifecycle.
  • Mentor and guide data engineering teams to enhance solution quality and adherence to architectural standards.
  • Evaluate emerging technologies to optimize performance and usability of the data ecosystem.

Benefits

  • Collaborative work environment with opportunities for mentorship.
  • Engagement in innovative projects involving AI and Machine Learning.
  • Exposure to cross-departmental strategic initiatives and partnerships.
  • Opportunities for professional development and continued education.
Full Job Description
The Opportunity:

The Lead Data Architect exists to define, own, and evolve Hylant's enterprise application and information architecture. This role ensures that current data initiatives are intentionally designed to meet today's analytical needs while enabling future innovation through scalable, secure, and well-governed platforms. The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as operational efficiency, adoption of self-service data products, and AI agent effectiveness.

In This Role You Will Execute On:
  • Define and drive the enterprise data architecture vision, ensuring alignment between business objectives, analytics needs, and platform capabilities (long term strategy and innovation roadmaps).
  • Responsible for application architecture (platform, tools, technologies) and information architecture (data models, data flow, data structures and data access)
  • Translate business and analytical requirements into scalable, secure, and feasible data architecture designs that support both near-term delivery and long-term innovation.
  • Guide requirements gathering, backlog shaping, and solution design to ensure initiatives align with established architectural standards and future-state roadmaps.
  • Lead the design of analytical data models, including dimensional and star schema designs for curated, business-ready data layers.
  • Design and oversee end-to-end data pipelines, including source-to-target mappings, transformation logic, and serving strategies.
  • Establish architectural patterns and standards for data ingestion, transformation, storage, governance, and analytics consumption.
  • Establish and enforce data governance frameworks, standards, and policies to ensure data quality, security, and compliance.
  • Ensure the integrity, quality, and validation of data across the full lifecycle, from source systems through curated datasets and reporting layers.
  • Partner closely with data engineering and analytics teams to provide architectural guidance throughout delivery while remaining accountable for solution quality. Mentor and guide the lead data engineer.
  • Own the Data Strategy & Lifecycle Management, treating EDW domains as data products with SLAs, ownership, and lifecycle
  • Contribute to AI, Machine Learning, and Analytics Enablement Roadmap.
  • Responsible for overseeing, integrating, and optimizing AI agents in data pipelines and ensuring the right mix of human and AI involvement. Ensure responsible use of AI agents and automation in data integration, transformation, and delivery.
  • Understand and own relationships with external support providers and vendors as needed.
  • Evaluate and recommend platform capabilities and emerging technologies to continuously improve performance, scalability, and usability of the data ecosystem. Ensure solutions and system are scalable, re-usable, and cost optimized.
  • Perform other duties and special projects as requested.


In This Role You'll Need:
  • Prefer bachelor's degree in computer science, data science, engineering, or a related field, or equivalent practical experience.
  • Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk.
  • Six or more years of experience in data architecture, analytics architecture, or enterprise data platform design.
  • Demonstrated experience designing and delivering data platforms built on Azure based technologies as well as with multi-cloud or hybrid environments.
  • Hands on experience with DevOps (CI/CD process), event streaming and processing, AI/ML toolset, Azure Databricks, Microsoft Data Factory, Delta Lake, Unity Catalog, and Azure cloud services.
  • Strong experience designing analytical data models, including dimensional and star schema approaches.
  • Advanced SQL skills and working proficiency with PySpark for data transformation and modeling.
  • Experience designing and validating end-to-end data pipelines, including data quality and reconciliation processes.
  • Ability to clearly communicate complex technical concepts to both technical and non-technical audiences.
  • Experience managing a team and in establishing an Architecture Review Board, Design Reviews, and Data Standards and Conventions.
  • Must be willing and able to travel for in-person meetings at least on a quarterly basis
  • Ability and willingness to travel by car or airplane for meetings, conferences, or other business-related functions.
  • Must be legally authorized to work in the United States


About Hylant Group Inc

Hylant is a full-service insurance brokerage firm with 16 offices in Ohio, Michigan, Illinois, Indiana, Tennessee, and Florida. The company offers a wide range of insurance products and services, including property and casualty, employee benefits, personal lines, and risk management consulting. Hylant serves clients in a variety of industries, including healthcare, construction, manufacturing, and transportation. The company was founded in 1935 and is headquartered in Toledo, Ohio.
Learn more about Hylant Group Inc
Size
1,000 employees
Industry
Finance & Insurance
Net Income
$10 million
5 Year Trend
+5%
Revenue
$2 billion
* Ladders Estimates

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