Data Solutions Architect
16 hours ago
We are seeking an experienced Data Solutions Architect to lead the design and implementation of large-scale data intelligence solutions leveraging Snowflake technology. The ideal candidate will possess a strong background in data warehousing, ETL processes, and modern data engineering practices.
About the Role
Develop and implement robust data solutions on the Snowflake Data Cloud platform, architecting and optimizing data pipelines, orchestration, data governance, and analytics frameworks. Lead the strategic analysis and quality assessment of data, implementing data quality rules and checks. Collaborate with stakeholders to gather requirements and ensure alignment with architectural best practices.
Key Responsibilities:
- Design and implement large-scale data solutions using Snowflake technology.
- Architect and optimize data pipelines, orchestration, and data governance frameworks.
- Lead data quality initiatives, ensuring data accuracy and integrity.
- Collaborate with stakeholders to gather requirements and align with architectural best practices.
- Develop expertise in Snowflake Functions and streaming services integration.
- Provide technical leadership in data modeling, ETL concepts, and scalability.
Requirements
8+ years in IT, with 2+ years of hands-on Snowflake expertise. Strong knowledge of Snowflake Data Warehousing and its architectural components. Expertise in SQL programming, Python, or Scala. Familiarity with ETL concepts, data modeling, and orchestration. Knowledge of streaming services (Kafka) and handling semi-structured data. Experience with Unix shell scripting and data visualization tools like Tableau or BOBJ.
Educational Background and Work Experience
A degree in Computer Science, Information Technology, or related field. Experience working in cloud-based data ecosystems, with a proven track record in data engineering and data governance. Strong interpersonal, organizational, and communication skills.
Salary Range:$120,000 - $180,000 per annum, depending on experience.
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