Data Platform Architect

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 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

Strong expertise in dbt

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.)