What You’ll Bring:
● 8+ years of experience in data architecture, data engineering, or a closely related field.
● 5+ years of hands-on experience with Databricks — Delta Lake, Unity Catalog, Workflows, and
SQL/Python notebooks.
● Deep dbt expertise: modeling patterns (staging, intermediate, mart), testing frameworks, dbt
docs, and CI/CD integration via GitLab or Azure DevOps.
● Strong SQL proficiency and solid Python skills for data transformation and pipeline
development.
● Demonstrated experience designing and operating SOX-controlled data environments,
including ITGC evidence requirements, access control design, and change management
workflows.
● Proven track record migrating legacy ETL tools (Alteryx, SSIS, Informatica, or equivalent) to
modern, code-first, version-controlled data pipelines.
● Experience with the Azure data ecosystem: Azure Data Factory (ADF), Azure DevOps, and
Azure Active Directory / Entra ID for identity and access.
● Experience architecting data products for Finance, Accounting, or Tax domain business
stakeholders.
● Strong ability to communicate complex technical architectures to non-technical audiences,
including Finance leadership and internal audit teams.
● Finance Data Intelligence.
● Master Data Management (MDM).
● Distributed Event Streaming Platforms (Kafka).
● Microservices Architecture.
● Apache Airflow.
