Principal Architect, Data Product Delivery (Hybrid)

What You Will Do

Technical Responsibilities

• Define architecture direction, standards, reference patterns, and reusable components for data ingestion, storage, transformation, analytics, and consumption.
• Own architecture diagrams, technical designs, integration blueprints, data models, standards, and architecture decision records for the Data and Analytics vertical.
• Develop proofs of concept, reference implementations, and reusable patterns that accelerate delivery and reduce technical debt.
• Evaluate emerging technologies, platforms, frameworks, and advanced analytics capabilities, and recommend fit-for-purpose adoption.
• Conduct architecture, design, and code reviews to assess scalability, performance, security, reliability, supportability, and engineering quality.
• Embed data privacy, access control, governance, and compliance requirements into solution designs with Data Governance and Security teams.
• Resolve complex performance, quality, scalability, integration, reliability, and operational challenges with engineering teams.
• Mentor engineers and architects through solution design, implementation planning, technical evaluations, and delivery reviews.
• Translate strategic requirements into technical designs, delivery roadmaps, and phased implementation plans with Product Management, platform teams, and business stakeholders.

Knowledge and Capabilities

• Apply enterprise data architecture practices across data warehousing, Lakehouse, real-time streaming, data engineering, integration, analytics, and operational support.
• Balance scalability, performance, cost, maintainability, delivery constraints, and engineering trade-offs when designing solutions.
• Analyze ambiguous, cross-functional technical challenges and explain architecture decisions and trade-offs to technical and executive audiences.
• Influence technical decisions through expertise, collaboration, and hands-on leadership while staying current with relevant data and analytics technologies.

What You Need

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Minimum 8 years of experience in data engineering, solution architecture, or technical design roles, including architecture ownership.
• Experience architecting large-scale enterprise data platforms and integration solutions.
• Hands-on experience with cloud data platforms, data modeling, modern data architecture patterns, Databricks or an equivalent Lakehouse platform, and guiding implementation teams through complex technical challenges.

Preferred Qualifications

• Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Experience with Azure Data Services, Databricks Lakehouse, Delta Lake, Delta Live Tables, Unity Catalog, SQL, Python, ETL/ELT, change data capture, dimensional modeling, medallion architecture, and distributed data processing.
• Experience with ERP and integration ecosystems such as Oracle, JDE, Salesforce, SAP S/4HANA, Kafka, REST, or GraphQL, including commercial, manufacturing, supply chain, or finance data domains.
• Cloud architecture certification such as AWS Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect; TOGAF or an equivalent enterprise architecture certification.