
Data Solutions Architect
4 days ago
We are seeking a seasoned architect to drive the design and delivery of cutting-edge data solutions. You will work closely with cross-functional teams to understand project requirements, develop high-level architectures, and oversee full lifecycle implementations—ensuring that solutions are scalable, secure, and aligned to business objectives.
This role requires strong expertise in modern data platforms, cloud-based architectures, and end-to-end solution delivery in complex environments.
- Work with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions.
- Develop conceptual and logical solution architectures for data platforms, data products, analytics, and AI/ML projects.
- Guide projects through the entire solution lifecycle, from requirements and design to build, testing, and deployment.
- Integrate data from multiple sources, ensuring interoperability and seamless data flow.
- Define solution-level security, access controls, and compliance requirements in partnership with data governance and security teams.
- Lead efforts in performance optimization, cost management, and solution scalability.
Experience & Technical Proficiency
Experience:
• Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
• Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.
Technical Proficiency:
Solution Architecture & Data Platforms:
• Designing data platforms and architecture (conceptual, logical)
• Cloud-native and hybrid data solutions
• Integration of SAP and non-SAP data sources
Databricks Lakehouse Platform:
• Medallion Architecture
• Delta Lake & DLT Pipelines
• PySpark Workbooks
• Spark SQL & SQL Warehouse
• Unity Catalog (data governance, lineage)
• Genie (query performance, indexing)
• Security & Role-Based Access Control
Programming:
• Python, SQL, PySpark, Spark, Scala
AWS Cloud Services:
• IAM, S3, Lambda, EMR, Redshift, Bedrock
Solution Delivery:
• Familiarity with DevOps and CI/CD processes
• Solution documentation and architecture diagramming
• Performance tuning and cost optimization
Other:
• Experience with data modeling (ER, dimensional)
• Knowledge of data security and compliance frameworks
• Strong communication, presentation, and stakeholder management skills
Education
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
Preferred Qualifications
• Certifications in Databricks, AWS, or Solution Architecture
• Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views
• Exposure to data mesh or data product management concepts
• Background in manufacturing or enterprise analytics environments
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