The Data Architect is an integral part of our Digital Information Delivery team based out of our US - Teaneck, NJ - Remote site.
Compensation range for this position is -
Position SummaryThis role will play a key role in the architecture, delivery and governance of reporting and data delivery at Phibro. This hands on technical role requires proven experience and knowledge of data warehousing and IBM Cognos business intelligence, with emphasis on data architecture, sourcing, reporting and analytics through project lifecycles. Specific responsibilities include but are not limited to:
Key Responsibilities1. Modern Data Architecture Leadership- Own and enhance Phibro's modernized data architecture built on Microsoft Fabric.
- Define technical standards for medallion architecture, CDC strategy, Fabric pipelines, optimization techniques, and Lakehouse/Warehouse usage.
- Evaluate and guide decisions on Spark vs. T-SQL warehouse design patterns.
- Oversee performance tuning to reduce compute consumption (CUs) across lakehouse notebooks, pipelines, and warehouse SQL objects.
2. Fabric Migration & Platform Modernization- Lead the migration of legacy SQL Server/SSIS processes to Fabric Lakehouse, Warehouse, and Data Factory.
- Re-engineer existing pipelines, stored procedures, and ETL frameworks into scalable Fabric-native solutions.
- Manage mirroring, CDC enablement, and ingestion performance for JDE and other enterprise systems.
- Validate and refine Silver and Gold layer ingestion, including schema evolution, SCD Type 2, and materialized view refresh logic.
3. Data Engineering & Integration- Design and maintain robust data ingestion pipelines for financials, sales, inventory, and master data domains.
- Partner with engineering teams to optimize Spark notebooks, Fabric pipelines, and delta lake tables.
- Ensure efficient CDC handling, bronze-to-gold transformations, and dependency orchestration.
- Establish operational runbooks and streamline orchestration sequencing.
4. Data Warehouse, MDM, & Governance- Architect scalable enterprise data models for Finance, Supply Chain, Sales, Animal Health operations, and Planning.
- Support MDM modernization initiatives such as Customer Master redesign and Business Unit Master optimization.
- Promote data quality, auditability, lineage, and governance using Purview.
- Establish standards for schema design, keys, constraints, and gold-layer performance.
5. Business Partnership & Delivery- Partner with Finance, Supply Chain, Commercial, and Production teams to understand reporting and analytics needs.
- Support month-end close processes through reliable data pipelines and validated warehouse layers.
- Provide guidance to leadership on capacity planning, cost optimization, and architecture selection.
- Collaborate with vendors (Microsoft, Virtusa, Qlik, etc.) on engineering, troubleshooting, and roadmap planning.
Required Skills and Experience- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
- 10+ years of experience in data architecture, including extensive SQL Server and ETL/SSIS experience.
- Hands-on expertise with Microsoft Fabric components:
- Lakehouse, Warehouse, Pipelines, Data Factory, Spark, Dataflows
- Delta Lake, Materialized Views, Mirroring, CDC frameworks
- Strong understanding of medallion architecture and big-data ingestion patterns.
- Proven experience modernizing legacy environments into cloud-first architectures.
- Experience with financial systems, reporting, and month-end processes.
- Strong performance optimization skills (Spark tuning, SQL optimization, CU cost control).
Preferred Qualifications- Microsoft Azure Data Engineering or Fabric certification.
- Experience with Qlik Replicate, Azure SQL Managed Instance, Synapse, or Databricks.
- Familiarity with data governance tools (Purview) and MDM frameworks.
- Experience with Power BI, Cognos, or similar analytics tools.
- Prior exposure to integrating with ERP systems such as JDE.
Key Technologies- Microsoft Fabric: Lakehouse, Warehouse, Pipelines, CDC, Mirroring, Spark
- Azure: Data Factory, SQL Database, Managed Instance, Data Lake Storage
- SQL Server / SSIS
- Data Modeling: SCDs, star schema, dimensional modeling
- Visualization: Power BI, Cognos
- Governance: Purview
- ETL/ELT: Qlik Replicate, ADF, T-SQL, Spark
To learn more about Phibro Animal Health's competitive benefits package, please click here: Phibro Benefits.
Business Unit: Corporate Division: Corporate Department: Digital Information Delivery Location: US - Teaneck, NJ - Remote Work Schedule: Monday - Friday (Standard Work hours) 
