Data Platform Engineer

**Data Platform Engineer** We are looking for a Data Platform Engineer to help us support our continued growth. A Data Platform Engineer facilitates discovery sessions to understand client processes and challenges and translates findings into technical requirements supported by a documented solution design. They provide thoughtful leadership and communication to project and client team members in order to build the foundation as a trusted partner. **Responsibilities** Data Engineering: - Develop and implement data architectures that align with business needs and leverage Snowflake’s capabilities for data warehousing, data lakes, and data engineering. - Design and implement data solutions that address specific business needs, such as BI, ETL, and AI/ML. - Assist with migration of data from legacy systems to Snowflake. - Ensure data accessibility, security, and compliance with relevant regulations and industry standards. Data Modeling & Pipeline Design: - Design and implement data pipelines for ingesting, transforming, and loading data into Snowflake from various sources. - Design and implement data models within Snowflake, considering data relationships, data types, and storage requirements. - Monitor and optimize query performance, data ingestion, and transformation processes within the Snowflake environment. Technical Leadership and Collaboration: - Collaborate with stakeholders, including business users, data engineers, data scientists, and other IT teams, to understand requirements and deliver solutions. - Evaluate and select appropriate tools and technologies for data integration, transformation, and analytics within the Snowflake ecosystem. - Provide technical leadership and guidance to data engineering and data analytics teams. **Required Skills, Education and Experience** - 5+ years experience in data engineering and data modeling for cloud data platforms with multiple workstreams - Deep understanding of Snowflake Architecture & Capabilities - Experience with dbt - Experience with Sigma - Passionate about Data Modernization Methods and Practices - Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science - Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization - Understanding & ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360 - Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap - Projects in a complex business environment - Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products - Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc - Deep Understanding of Architecture Patterns and API management, including real-time streaming - Dimensional Data Modeling Bronze, Silver, Gold, Kimball or Related Methods - Must have full-time permanent US work authorization **Additional Requirements** - Bachelor’s Degree preferred, or equivalent experience - Implementation or Sales Experience in Salesforce Data Cloud - Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud or any Industry Clouds - Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI. - Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform. - Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc - Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military exp…