Senior Data Analytics Architect — AI-Ready Data Platform

iSolved HCM; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

isolved is a leading provider of human capital management (HCM) solutions that combines modern technology with expert services and support. The Senior Data Analytics Engineer will shape the analytics platform, data models, and decision-enabling systems, partnering with data engineers, analysts, product teams, and AI stakeholders to turn raw data into trusted, governed assets.

This hands-on, high-impact role requires deep expertise in data modeling, dbt, cloud data stacks, and AI-ready

Qualifications

• 7+ years of experience in analytics engineering, data engineering, or data analytics roles.
• Expert in dbt and modern data transformation pipelines (dbt Cloud or Core).
• Deep understanding of data modeling techniques (dimensional modeling, star/snowflake schema, slowly changing dimensions, data vault, etc.).
• Proficient in SQL (performance tuning, complex joins, CTEs, window functions).
• Strong working knowledge of cloud data warehouses (Databricks preferred, Snowflake, BigQuery, Snowflake, etc).
• Comfortable with Git-based workflows, CI/CD, and software engineering best practices in analytics contexts
• Experience collaborating with cross-functional teams and translating ambiguous business needs into structured data models
• Demonstrated experience owning data domains and metrics at scale
• Strong communication and storytelling skills; able to explain complex data topics to both technical and non-technical audiences
• Proficient in Python, with the ability to automate data workflows and support AI-enabled analytics use cases as needed

Responsibilities

• Lead the design and evolution of our semantic layer and analytics data models using dbt and modern warehouse platforms, including structures that support AI-assisted analysis and reusable data products.
• Define and enforce best practices in data transformation, versioning, testing, documentation, and automation of repetitive data quality checks.
• Collaborate closely with analysts, product managers, and data engineers to align modeling work with business use cases.
• Own the lifecycle of metrics and definitions, ensuring consistency, trust, and reusability across the organization.
• Drive the implementation of self-service data capabilities, empowering teams through curated datasets, intuitive tooling, and AI-assisted discovery where appropriate.
• Provide technical mentorship and guidance to analytics engineers and analysts across teams.
• Act as a bridge between analytics and engineering, translating requirements into scalable and performant data infrastructure.
• Contribute to governance initiatives (e.g., data cataloging, lineage, quality monitoring, and standards for approved AI tool usage) to increase trust in data products.
• Optimize and tune warehouse performance for cost and scale (Databricks preferred, BigQuery, Snowflake, etc), including identifying opportunities to automate recurring optimization and monitoring tasks.

Skills

dbt

Data modeling

SQL

Cloud data warehouses

Git-based workflows

CI/CD

Python

communication skills

data governance

analytics engineering

Education

Bachelor's degree

Tools

Databricks

Snowflake

BigQuery

Job description

isolved is a leading provider of human capital management (HCM) solutions that combines modern technology with expert services and support. The Senior Data Analytics Engineer will shape the analytics platform, data models, and decision-enabling systems, partnering with data engineers, analysts, product teams, and AI stakeholders to turn raw data into trusted, governed assets.

This hands-on, high-impact role requires deep expertise in data modeling, dbt, cloud data stacks, and AI-ready