Data Architect, Enterprise Cloud Data Platforms
Overview
You own the end-to-end data architecture for enterprise-scale analytics and cloud platforms at Raas Infotek LLC. You work with SQL, Python, and Snowflake to design solutions that power reporting and data-driven applications. You sit with cross-functional teams across data engineering and BI, driving architectural decisions. This role stands out for its focus on cloud-native architecture and governance at scale.
What You'll Do6
- 1Design and implement scalable enterprise data architectures using SQL, Python, and Snowflake for analytics and reporting.
- 2Build data models that support high-volume transactions and complex queries, ensuring performance and reliability.
- 3Lead the integration of data sources across on-premise and cloud environments, leveraging AWS and Azure.
- 4Drive data governance initiatives, enforcing data quality, lineage, and security standards with Collibra.
- 5Collaborate with data engineers to optimize ETL pipelines, using dbt and Airflow for orchestration.
- 6Develop and maintain architectural blueprints, ensuring alignment with business goals and scalability.
Requirements7
- 110+ years of experience in data architecture and engineering.
- 2Proven expertise in data modeling for enterprise systems, including ERD and Star Schema.
- 3Hands-on experience with cloud data platforms, specifically Snowflake and AWS.
- 4Strong proficiency in SQL and Python for data manipulation and automation.
- 5Experience with data integration tools like Informatica or Talend.
- 6Deep understanding of data governance practices and tools, such as Collibra.
- 7Excellent communication skills for articulating technical decisions to stakeholders.
Salary Insight
Salary not disclosed in listing
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