
Enterprise Data Architect
2 days ago
As a Data Architect, you will lead the design and implementation of enterprise analytics solutions. This role requires expertise in data architecture and analytics, with a focus on creating scalable, reliable, and high-performing solutions.
Key Responsibilities- Architectural Design: Develop end-to-end analytics solutions using modern data tools. You will leverage data virtualization, ETL, and semantic layers to unify data and balance performance with data transformation.
- Collaboration & Leadership: Work closely with stakeholders across departments to design and implement data models. You will serve as a subject matter expert and technical leader, mentoring teams and presenting architecture strategies.
- Data Modeling & Pipelines: Design robust data models and processing layers that support analytical and operational reporting needs. You will collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing.
- Governance & Best Practices: Establish best practices for data governance, security, and compliance within data environments. You will create robust documentation of architectural direction, patterns, and standards.
- A Master's degree with 6-8 years of experience or a Bachelor's degree with 8-10 years of experience in data management and solution architecture.
- Hands-on experience building CDC ETL pipelines, data warehouse design, and enterprise-level data management.
- Expertise in cloud platforms, data lakes, and data warehouses.
- Proven experience designing and implementing data mastering solutions and data governance frameworks.
- Certifications such as SAFe Agile Practitioner (6.0) and Databricks Certified Professional are preferred.
- Leadership: Strong technical leadership skills and the ability to mentor team members.
- Problem-Solving: Excellent analytical and troubleshooting skills, with a deep intellectual curiosity.
- Communication: Strong verbal and written communication skills, including the ability to present complex topics to varied audiences.
- Collaboration: The ability to work effectively with global, remote teams and manage multiple priorities.
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