Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Client Description Our client is a major Fortune 500 company and one of the world's most innovative and cutting-edge technology companies, and this role is in the Interactive department.
Droisys is seeking Snowflake Data Architect job offering Hybrid work for a Long-term contract job opportunity.
Job Role: Snowflake Data Architect Job Location: Santa Clara, CA (Hybrid Onsite Work) Duration: 3 Months [Potential Extensions] Position Overview: The Senior Manager, Data Platform will play a pivotal role in driving data-based decision-making culture across the company. You will be responsible for overseeing the development and management of our data platform strategy and implementation, ensuring the availability, accuracy, and usability of data assets for various functions. This hands-on role will be leading the team responsible for all the data and technology around the data lake platform, data modeling, ELT, and data transformations needed.
Data Lake: Drive the technology roadmap and implementation of the data lake.
Build the data model needed to support current and future requirements.
Build the data pipelines needed from the different source systems.
Source Systems: You will come with deep knowledge of the data in the following source systems - Oracle Fusion Cloud - Finance and Supply Chain (Must have skill), Salesforce (Must have skill)
Organizational Leadership: Lead a technical team and effectively communicate with peers in IT and Business teams.
Data Governance: Work across the organization to establish and enforce data governance policies to maintain data quality, security, and compliance.
Stakeholder Collaboration: Work closely with data analysts in different departments and convert their requirements to technical design and model and build the solution.
Technology Leadership: Stay abreast of emerging technologies and trends in data analytics, business intelligence, Machine Learning and Generative AI. Evaluate and implement cutting edge tools to enhance analytical capabilities, as appropriate.
Requirements: Bachelors or master's degree in data science, business intelligence, computer science, or a related field.
Minimum of 12 years of experience in data management, data analytics, or business intelligence.
Proven experience with data warehousing, data modeling, ETL processes, and data visualization tools.
Proficiency in cloud data warehousing technologies like Snowflake and data analytics tools such as Tableau, Power BI, or similar platforms.
Proficiency in extracting and loading data from the following two source applications - Oracle Fusion Cloud (Finance, Supply Chain, Manufacturing), Salesforce (Must have skill).
Excellent project management and team leadership skills.
Strong interpersonal and communication skills to collaborate effectively with business partners cross-functional teams.
Strong strategic mindset with the ability to align analytics initiatives with overall business goals and proactively identify opportunities for leveraging data to drive business value.
Thank you,
Mayank Agarwal (He/Him) (D) (O)
Technical Recruiter, Droisys
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