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About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Principal Data Engineer
Primary Skills
- data modeling software (e.g., ER Studio, ERwin) and design for OLTP and analytical systems
Job requirements
- #LI-AS1
"Role is open for Full time hiring only. Role is not open for sponsorship"
Required 5 days onsite at San Francisco, CA
The ideal candidate will possess strong communication, influencing, and negotiation skills to independently drive consensus and consistency across multiple teams. The Data Modeler must be able to work autonomously, think creatively, and take ownership of resolving challenges.
Key Responsibilities:
· Collaborate with Product Management to understand and evaluate use cases, as well as functional and technical requirements.
· Conduct data discovery and analysis of source systems to identify the necessary data to fulfill business requirements.
· Develop conceptual and logical data models to validate requirements, pinpointing essential entities and relationships with full documentation of assumptions/risks.
· Translate logical data models into physical data models for Salesforce Data Cloud, including the production of source-to-target mapping documentation that outlines data movement from source to destination and specifies transformation rules.
· Support engineering teams through the implementation of physical data models, including source-to-target mapping and the application of transformation/business rules.
Minimum Qualifications:
· 10+ years of hands-on experience in data modeling and design for OLTP and analytical systems.
· Solid understanding of data modeling principles and best practices, with expertise in canonical and semantic data modeling concepts.
· Proficiency in at least one data modeling software (e.g., ER Studio, ERwin).
· 10+ years of experience in data analysis and profiling using SQL and other relevant tools.
Preferred Qualifications:
· Experience with our technology stack, including Salesforce Data Cloud, Marketing Cloud, and Tableau, is highly desirable.
· Practical experience with sales and marketing data.
· Experience working with globally distributed teams is an advantage.
· Availability to work in the Pacific time zone.
DAI: https://www.brillio.com/services-data-analytics/
Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/
Equal Employment Opportunity Declaration
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
