Note: The job is a remote job and is open to candidates in USA. Snowflake is a company focused on reinventing the data platform, seeking AI-native thinkers to redefine how work gets done. The Senior Professional Services Solutions Architect will engage in both selling and delivering Snowflake Professional Services, acting as a trusted advisor to customers while collaborating with internal teams to drive project success.
Responsibilities
- Present Snowflake technology and vision to executives and technical contributors to customers
- Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes
- Partner with Professional Services Practice Directors and Practice Managers to identify, iterate and scope proposals and Statements of Work, both for packaged services as well as custom Time and Materials projects
- Collaborate with Snowflake sales executives and account teams on opportunity development and overall account strategy
- Build 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
- Collect and communicate 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
- Drive project teams towards common goals of accelerating the adoption of Snowflake solutions
- Demonstrate and communicate 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
- Create repeatable processes and documentation as a result of customer engagement
- Create and collaborate on Industry based solutions that are relevant to other customers in order to drive more value out of Snowflake
- Follow best practices, including ensuring knowledge transfer so that customers are correctly enabled and can extend the capabilities of Snowflake on their own
- Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Skills
- 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)
- Either 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, OR
- Experience with AI/ML model development and relevant tools like Sagemaker, DBx, or Azure ML. Additionally candidate must have familiarity with common ML supporting libraries (sklearn, xgboost, pytorch, pandas, etc.)
- 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
- Big 5 Consulting experience
- Experience selling or supporting the sales process of technical services at the enterprise level
- Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
- Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau)
- OLAP Data modeling and data architecture experience
- Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences etc
- Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.), cloud networking and security, data governance, ELT tools and BI/presentation layer tools
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