Sr. Data Architect- HR Data
18 hours ago
Job Title: Sr. Data Architect- HR Data & Analytics
Location: Boston – Hybrid (4 days from office)
Duration: Months
Notes
: Snowflake, ETL / ELT, HRIS, SQL, Python.
Role Overview
The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to 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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