Data Analytics Lead

20 hours ago

New York, New York, United States Snowflake Computing Full time

About the Role

We are seeking a highly skilled Data Analytics Lead to join our team at Snowflake Computing. As a key member of our Professional Services team, you will be responsible for driving project teams towards common goals of accelerating the adoption of Snowflake solutions.

Key Responsibilities:

  • DRIVES project teams towards common goals of accelerating the adoption of Snowflake solutions.
  • Collaborates with Snowflake sales executives and account teams on opportunity development and overall account strategy.
  • Present Snowflake technology and vision to executives and technical contributors to customers.
  • Positions oneself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes.
  • BUILDs trust and confidence in Snowflake Professional Services through the delivery of on-site technical/use-case workshops, leadership of video conference meetings, assistance with deep-dive technical issues or questions and public-facing evangelism (LinkedIn, Medium, etc.) of Snowflake.
  • COLLECTS and communicates common themes and questions from customer meetings to inform delivery teams on the evolving services landscape, identifying opportunities to build new and/or evolve existing packaged service offerings.
  • Demonstrates and communicates the value of Snowflake technology throughout paid engagements, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders.
  • CREATES repeatable processes and documentation as a result of customer engagement.
  • CREATES and collaborates on Industry based solutions that are relevant to other customers in order to drive more value out of Snowflake.
  • FOLLOWS best practices, including ensuring knowledge transfer so that customers are correctly enabled and can extend the capabilities of Snowflake on their own.
  • MAINTAINS a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.

Requirements:

  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience.
  • Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer.
  • Minimum 2 years of practical Snowflake experience, leading or participating in services engagements.
  • Minimum 2 years of practical experience with at least one of the three major cloud providers (AWS, Azure or GCP).
  • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools.
  • Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI).
  • Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) along with data science/AI/ML use cases and workloads.
  • Software development experience with Python, Java, Spark and other Scripting languages.
  • Proficiency in implementing data security measures, access controls, and design within the Snowflake platform.
  • Internal and/or external consulting experience.
  • Impeccable communication skills - written, visual and oral. Capable of comfortably engaging audiences from hands-on technologists through C-suite executives.

Estimated Salary: $120,000 - $180,000 per year

Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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