Job Summary

We are seeking a Senior Data Architect with deep expertise in enterprise data architecture, financial systems, and cloud analytics platforms to lead the design and implementation of a next-generation data lake environment. This role will focus on unifying legacy and modern financial and HR systems, ensuring a scalable, secure, and AI-ready data platform that enables advanced analytics and enterprise-wide decision-making.

TOGAF certification is required, along with data-related credentials and a proven background in dimensional modeling, data integration, and data governance.

Key Responsibilities

• Architect and implement a robust dimensional data model across systems such as OneStream, Hyperion, Oracle EBS, HCM, and Workbrain.
• Design and optimize fact and dimension tables, data marts, and calculated metrics in Azure Data Lake for analytical and operational reporting.
• Lead ETL/ELT strategy and execution to integrate both historical and real-time data with scalability and performance in mind.
• Implement data quality frameworks, lineage tracking, and validation rules to ensure auditability and compliance.
• Develop metadata-driven architectures and standardized processes that enable self-service analytics and executive reporting.
• Apply and enforce data governance policies, including RBAC, encryption, privacy standards, and industry regulations.
• Collaborate closely with stakeholders across Finance, HR, and IT to align architecture to business needs and long-term data strategy.
• Drive readiness for AI, machine learning, predictive analytics, and seamless Power BI integration.

Required Skills & Qualifications

• TOGAF certification is mandatory; additional data-related certifications strongly preferred.
• 7+ years of experience in data architecture, with a focus on dimensional modeling and enterprise data integration.
• In-depth knowledge of OneStream, Hyperion, and financial/HR systems like Oracle EBS, HCM, and Workbrain.
• Hands-on expertise in Azure Data Lake, Power BI, and cloud analytics platforms.
• Strong proficiency in ETL/ELT tools and scripting (SQL, Python, etc.).
• Proven experience with data governance, lineage tracking, and metadata management.
• Demonstrated ability to architect and manage secure, compliant data environments.
• Excellent communication and stakeholder management skills with both technical and non-technical teams.

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Experience working in large-scale finance environments.
• Strong understanding of AI and ML data pipelines.
• Prior experience in environments requiring strict data governance and compliance.
• Experience with financial systems like OneStream, Hyperion, Oracle EBS and more.

We’re an equal opportunity employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.