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Senior Data Solutions Architect
3 weeks ago
We are seeking a seasoned data engineer to spearhead the development of cutting-edge data solutions. The ideal candidate will possess expertise in designing and implementing complex data pipelines, as well as collaborating with cross-functional teams to drive business growth.
About the Role:
- Craft modern data warehouse solutions leveraging Snowflake and Azure Data Factory.
- Design forward-thinking data engineering and analytics solutions that drive business insights.
- Collaborate with DW/BI leads to understand new ETL pipeline requirements and develop strategic plans for implementation.
- Identify and resolve issues in existing pipelines to ensure seamless operations.
- Work with business stakeholders to develop data models that meet reporting needs and drive data-driven decision-making.
- Support junior team members in resolving technical challenges and provide guidance on best practices.
- Lead technical discussions with client architects and team members to drive consensus and alignment.
- Orchestrate data pipelines in schedulers via Airflow to ensure efficient and scalable data processing.
Requirements:
- Bachelor's or master's degree in computer science or related field.
- 6+ years of IT experience, with 3+ years' experience in data warehouse/ETL projects.
Key Skills:
- Expertise in Snowflake security, SQL, and designing/implementing other objects.
- Hands-on experience with utilities, SnowSQL, Snowpipe, Snowsight, and connectors.
- Deep understanding of Star and dimensional modeling.
- Strong knowledge of data management principles and Databricks Data & AI platform.
- Experience building ETL/data transformation processes and working with structured and unstructured data.
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting, and query optimization.