Senior Global Data Warehouse Architect
Listed on 2026-02-16
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IT/Tech
Data Engineer, Data Warehousing
The Senior Global Data Warehouse Architect will be responsible for designing and delivering modern, scalable, and high-performing data platforms that enable advanced financial and operational analytics. This role will play a key role in defining our enterprise data architecture strategy, optimizing data flows, and ensuring data structures are reliable, efficient, and built for analytical depth and scalability. The Senior Global Data Warehouse Architect will also deliver a well-structured, high-performing data platform that delivers reliable, reconciled financial and operational metrics with the goals of, reducing time-to-insight for finance and leadership teams through optimized data pipelines and curated data models, and establishing standards for data governance, lineage, and model reusability that elevate data quality across the enterprise.
The ideal candidate will deep technical expertise in Databricks or Snowflake, mastery of data modeling and engineering best practices, and practical experience integrating data from financial and legal accounting systems such as Aderant or Elite 3E.
Responsibilities:- Design and implement enterprise-grade data architectures leveraging Databricks, Snowflake, or similar platforms to support real-time and batch analytical workloads.
- Build efficient ELT/ETL workflows using Spark, Python, and SQL to ingest, transform, and curate large volumes of structured and unstructured financial and operational data.
- Create and maintain dimensional, normalized, and semantic data models to serve financial reporting, performance analytics, and forecasting use cases.
- Lead integration design of Elite 3E, HRIS, and other source systems, ensuring accurate reconciliation and alignment with enterprise data warehouse schemas.
- Enforce data governance policies, lineage tracking, and metadata standards to ensure data accuracy, consistency, and regulatory compliance.
- Tune query performance, optimize compute and storage costs, and implement data caching and partitioning strategies to improve processing speed and efficiency.
- Partner closely with data engineers, BI developers, finance analysts, and technology teams to translate business requirements into scalable data solutions.
- Evaluate new tools, frameworks, and architectures to enhance data platform performance and scalability.
- 8+ years in data architecture, data engineering, or BI engineering roles.
- Hands-on experience architecting solutions on Databricks and/or Snowflake.
- Strong proficiency in SQL, Python, and Spark.
- Deep understanding of data modeling principles (3NF, star/snowflake schemas, data vault).
- Proven experience designing data lakes and lakehouse architectures.
- Strong familiarity with financial data structures, accounting schemas, and legal practice management systems such as Aderant or Elite 3E.
- Experience building data solutions to support financial planning, billing, profitability, and time & expense analytics.
- Experience working with AWS, Azure, or GCP (Databricks, Snowflake, S3, Delta Lake), Power BI, Tableau, or equivalent
- Strong analytical and problem-solving abilities.
- Clear technical communication and documentation skills.
- Ability to influence and align technical direction across teams.
- Databricks Certified Data Engineer / Architect or Snowflake Snow Pro Advanced:
Architect - TOGAF or other enterprise data architecture credentials
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