Solution Architect

Position: Business Systems Analyst 3 (Solution Architect)
Location: Sunnyvale CA - Hybrid
Interview: Video In-Person
Duration: 6 Months
 
Top Skills:
•       Snowflake, Tableau and Python.
•       Experience in Data Engineering and Analytics.
•       Strong expertise in designing and implementing data models for consumption by Data Engineers using Snowflake and Business Systems Analysts using Tableau.
•       Advanced skills in Tableau for dashboard development and report creation.
•       Knowledge of ETL processes, and data warehousing concepts.
•       Experience with performance optimization in both Snowflake and Tableau environments.
•       Strong problem-solving and analytical skills.
•       Good communication and collaboration skills between Business, Data Engineering and Analytics teams across Americas, Europe and Asia.
•       Ability to work in a fast-paced environment with changing priorities and requirements.
 
Detailed Job description:
We are seeking a highly skilled and experienced Solution Architect with expertise in Snowflake, Python and Tableau, and a proven track record on designing and providing scalable  ‘Data Analysis and Visualization’ solutions for Engineering teams of Manufacturing, Quality, Supplier and Post Market. As a key member of our Data analytics and Business Intelligence team, you will play a crucial role in designing, implementing, and optimizing solutions that empower our organization to make data-driven decisions. If you have a strong background in Data Engineering and Manufacturing data analytics with a passion for transforming raw data into actionable insights, we encourage you to apply. You will be part of a fast growing, innovative environment where your hard work and creativity can help build, improve, and provide analytics solutions. Experience working with AI and ML Models and moving them to production will be an added advantage.
 
Responsibilities:

• Documentation:  Create comprehensive documentation for architecture, design, and processes for consumption by Data Engineers and Business Analysts.  Generate Source to target mapping document.
• Team Collaboration:  Work closely with cross-functional teams, including data engineers, data analysts, and manufacturing experts, collaborate on best practices and align solutions with business goals.
• Data Modeling: Collaborate with Data Engineers and Front-end developers to design and implement scalable data models within Snowflake and Tableau to support efficient storage, retrieval, and analysis of manufacturing data.
• Tableau Development:  Collaborate with Back-end Data Engineers and Front-End developers to create and maintain Tableau dashboards, reports that provide actionable insights to business stakeholders.

 
Qualifications:
•       Bachelor's or Master’s degree in information technology or a related field with a focus on Manufacturing and/or Quality Engineering.
•       Snowflake, Tableau and Python certifications.
•       Experience in Data Engineering and Analytics with a focus on Snowflake, Tableau and Python.
•       Strong expertise in designing and implementing data models for consumption by Data Engineers using Snowflake and Business Systems Analysts using Tableau.
•       Advanced skills in Tableau for dashboard development and report creation.
•       Knowledge of ETL processes, and data warehousing concepts.
•       Experience with performance optimization in both Snowflake and Tableau environments.
•       Strong problem-solving and analytical skills.
•       Excellent communication and collaboration skills.
•       Ability to collaborate with Teams across Americas, Europe, and Asia.
•       Ability to work in a fast-paced environment with changing priorities and requirements.
 
Preferred Skills:
•       Experience with other BI tools and data visualization platforms.
•       Experience working with business applications like SAP and Agile and understanding of cross functional business processes in Engg. & Mfg. and PLM domain (PDM, NPI, BOM, MRP) and enterprise data elements.
•       Insights on Process Engineering data
•       Experience working with AI/ML Models and moving them to production will be an added advantage.
 
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