Data Architect

Role : Data Architect – HR Data & Analytics

Location : Boston – Hybrid (4 days from office)

Role Overview

The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support KKR’s global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization.

Key Responsibilities

Architect & Model :

Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting.

Data Integration :

Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems.

Governance & Quality :

Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance.

Documentation & Metadata :

Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations.

Performance Optimization :

Monitor and tune ETL / ELT pipelines, ensuring high-performance data transformation and loading processes.

Collaboration :

Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets.

Testing & Validation :

Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy.

Lifecycle Support :

Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions.

Required Experience & Skills

Proven experience architecting and implementing solutions on

Snowflake

or similar cloud data warehouse platforms.

Advanced

SQL

skills and hands-on experience with

data transformation

and

pipeline optimization

tools.

Strong understanding of

ETL / ELT frameworks , data validation, and reconciliation techniques.

Demonstrated experience working with

HR data structures ,

Workday , or other HRIS systems.

Strong analytical mindset and problem-solving ability, with attention to data integrity and business context.

Experience with

Python

for data engineering, automation, or orchestration tasks.

Track record of

designing data warehouses

or analytical platforms leveraging HR data to drive insights and advanced reporting.

Preferred Experience & Skills

Experience building and supporting data warehouses specifically for

HR and People Analytics

domains.

Hands-on experience with

Slowly Changing Dimensions (SCD Type 2)

and historical data management.

Proficiency with

data visualization tools

such as

Tableau

or

Power BI .

Experience with

ELT frameworks

(e.g.,

dbt ) and modern data architecture patterns (e.g.,

Data Vault ,

Medallion Architecture ).

Familiarity with

HR processes ,

compliance standards , and

industry best practices

related to HR data management and reporting.

Experience working in an

enterprise environment

with cross-functional collaboration between HR, Finance, and Technology teams.

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