Databricks Reporting Architect

Key Responsibilities

• Define how data flows from SAP source systems through middleware into the Databricks Lakehouse establishing clear guidelines for Medallion Architecture (Bronze/Raw Silver/Cleansed Gold/Curated layers)
• Build scalable transformation logic using PySpark and Spark SQL ensuring data quality performance and reliability across all layers
• Architect optimized storage layers using Delta Lake ensuring efficient data layout via Z-Ordering partitioning strategies and liquid clustering for high-performance queries
• Design and manage the Gold/consumption layer to serve reporting and analytics use cases with optimized query performance
• Work with Delta Lake for ACID-compliant data storage time-travel schema enforcement and incremental data processing
• Translate complex business requirements into scalable physical data models Dimensional/Star Schema specifically optimized for Databricks SQL
• Serve as the primary architect for data governance implementing Unity Catalog to enforce fine-grained access control (row and column-level security) data lineage tracking and centralized auditing
• Design automated data quality validation pipelines using Delta Live Tables (DLT) or Great Expectations to ensure data trust across all layers
• Implement data quality checks validation frameworks and monitoring across all pipeline stages; perform root-cause analysis on data discrepancies
• Define and document Databricks architecture patterns data models and pipeline designs for reuse auditability and compliance
• Collaborate with middleware and data engineering teams to consume SAP data (from ECC/S4) landing in Databricks via integration pipelines
• Support OData or API-based integrations where data flows between SAP and Databricks; coordinate with upstream teams on data discrepancy resolution
• Work with data visualization tools such as SAP Analytics Cloud or Power BI for reporting and analytics
• Understand SAP data structures (OTC P2P domain) to accurately model and transform business data deep SAP BW development skills not required
• Perform root-cause analysis on data discrepancies and resolve data quality issues in collaboration with upstream teams
• Build and maintain dashboards and self-service reports for business stakeholders across OTC and P2P processes
• Partner with business users to gather requirements translate them into analytical models and validate outputs
• Actively leverage AI coding tools (e.g. Databricks AI Assistant Claude) to accelerate development generate transformation code and improve code quality
• Evaluate and apply emerging AI/ML capabilities available within the Databricks platform (e.g. MLflow AutoML Genie) for analytics use cases
• Stay current with Databricks platform updates Apache Spark developments and modern lakehouse best practices
• Support testing validation and deployment of solutions with minimal business disruption
• Self-manage Business process improvements. Plan milestones and deadlines and provide progress updates.

Qualifications

• Required: Bachelors Degree in Computer Science Engineering Information Systems or related field
• Preferred: Masters Degree or equivalent postgraduate qualification
• Minimum 7 years of experience in data engineering data warehousing or analytics architecture
• Minimum 3 years of hands-on experience with Databricks including Delta Lake notebooks and Jobs/Workflows
• Strong proficiency in PySpark spark SQL and Python for large-scale data transformation
• Proven experience designing and implementing Medallion Architecture (Bronze/Silver/Gold) in a production environment
• Strong SQL skills for data modeling query optimization and reporting layer development
• Demonstrated experience building dashboards and reports using Power BI Tableau or SAP Analytics Cloud
• Experience with AI-assisted development tools (e.g. GitHub Copilot Databricks AI Assistant) to accelerate data engineering work
• Familiarity with SAP data structures and business processes (OTC P2P) ability to understand data from SAP systems
• Experience consuming data from middleware integration layers or data lake ingestion pipelines
• Understanding of data governance concepts: Unity Catalog data lineage access control
• Strong analytical debugging and problem-solving skills
• Excellent communication and stakeholder management skills; ability to translate business requirements into technical solutions
• Ability to work independently in a fast-paced global environment
• Experience in offshore/onshore delivery models preferred

The base salary range for this position is $150000to $170000per year. Base salary isdeterminedby individualized factors such as experience and market location. Depending on company and individual performance this positionalso maybe eligible for an annual bonus.

As a benefit eligible position this role enjoys access to our medical plans dental plans vision plan Life Insurance Accidental Dismemberment & Death Insurance Tuition Reimbursement program 401(k) Short-Term Disability Long-Term Disability Parental Leave Legal Plan Employee Assistance Program Pet Insurance Flexible Spending Account Critical Illness Insurance Watch Accommodations/Discounts Paid Time Off and Company Paid Holidays!

Benefits described above are subject to change and/or may bemodifiedat the Companysdiscretion based on business needs or applicable laws.

DIRECT APPLICANTS ONLY - NO AGENCIES

Movado Group Inc. designs sources and distributes MOVADO MVMT OLIVIA BURTON EBEL CONCORD COACH TOMMY HILFIGER HUGO BOSS LACOSTE and CALVIN KLEIN watches worldwide andoperatesMovado company stores in the United States.

Movado Group Inc. is an equal opportunity employer. It prohibits discrimination based on age color disability marital or parental status national origin race religion sex sexual orientation gender identity veteranstatusor any other legally protected statusin accordance withapplicable federalstateand local laws.

#ZR

#LI-MP1

Movado Group Inc. is an equal opportunity employer. It prohibits discrimination based on age color disability marital or parental status national origin race religion sex sexual orientation gender identity veteran status or any other legally protected status in accordance with applicable federal state and local laws.