We are looking for a Data Platform Architect to help us support our continued growth. The Solution Architect is responsible for owning the overall design of the technical solution as well as recommending best practice solutions based on client needs. They provide technical guidance to the development of Salesforce.com and other SaaS applications to support business and product strategies. A Data Platform Architect 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.
Work that matters. Life that fits.
Looking for a role where you can live anywhere you want while delivering meaningful client work? You’re in the right place.
We’re looking for tech-savvy folks who know Salesforce inside and out and believe outstanding customer experience is table stakes. Join our team of talented, certified Salesforce consultants and industry experts and develop life-changing skills
Work Environment
Flexible Work Options
Volunteer Time Off
Computer Allowance
Team Building Activities
Virtual Socials
Great Benefits
Medical & dental insurance
Flexible spending accounts
401(k) plan with company match
Short-term & long-term disability
Life & AD&D insurance
Paid holidays
Responsible Time Off (RTO)
Responsibilities
Data Architecture Design:
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 solutions architecture/technical consulting for cloud data platforms with multiple workstreams
Deep understanding of Snowflake Architecture & Capabilities
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 experience, volunteer work, etc.)
