
Chief Data Solutions Architect
1 week ago
We are seeking an experienced Solution Architect to lead the design and delivery of data solutions. You will work closely with business and technical teams to understand project requirements, develop conceptual architectures, and oversee full lifecycle implementations.
Key Responsibilities:
- Gather and analyze business, data, and technical requirements for new and evolving data solutions.
- Develop solution architectures for data platforms and analytics 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:
- 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 Skills:
- Data Platforms & Architecture: Conceptual, logical, and physical designs.
- Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS).
- Integration of SAP and non-SAP data sources.
- Databricks Lakehouse Platform: Medallion Architecture, Delta Lake & DLT Pipelines, PySpark Workbooks.
- AWS Cloud Services: IAM, S3, Lambda, EMR, Redshift, Bedrock.
- Programming: Python, SQL, PySpark, Spark, Scala.
Benefits:
- Familiarity with DevOps and CI/CD processes.
- Solution documentation and architecture diagramming.
- Performance tuning and cost optimization.
Others:
- Experience with data modeling (ER, dimensional).
- Knowledge of data security and compliance frameworks.
- Strong communication, presentation, and stakeholder management skills.
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