Principal Solutions Architect - Data
$138,500–$207,750 year
On-siteSeaTac, Washington, United States
Job Summary
Lead subject matter expert on data architecture, tool stack, and engineering best practices for the Data Services Team. Define long-term strategy for the Enterprise Data Platform, resolve technical and governance challenges, and drive innovation across the data ecosystem. Act as liaison to internal IT and external business teams on ingestion patterns, consumption optimization, security, access frameworks, and modernization. Collaborate with stakeholders to design scalable, secure solutions and communicate technical guidance to maintain standards. Explore emerging technology trends, lead proof-of-concept efforts, and steer architecture assessments for cost and performance improvements. Manage solution designs, methodologies, and IT guidelines while coordinating complex projects across all domains.
Required Qualifications
- 7 years of experience in data engineering, big data platforms, and analytics, including independent work on large-scale data architectures or related area
- Bachelor's degree, or an additional two years of relevant training/experience in lieu of this degree
- Demonstrated experience architecting, implementing, and creating complex technology solutions
- Proven experience in quickly learning new technologies and methodologies
- Demonstrated ability in effectively communicating technical concepts to a wide variety of audiences
- Demonstrated ability to identify, analyze, and solve complex business and technical challenges
- Strong background in Data Warehousing, relational databases, noSQL databases, the nuances of batch vs real-time data, Databricks, Apache Spark and distributed computing, Oracle, SQL Server, understand the fundamentals of Inmon vs Kimball methodology, ODS, analytics vs transactional data systems, data security, and data access frameworks
- Demonstrated understanding of standard data ingestion, consumption patterns, and all that Productionization of a data product entail
- Experience with business requirements gathering/analysis techniques
- Highly organized with a demonstrated systematic approach to carrying out assignments
- Experience producing proofs of concept with different technologies to accurately arrive at working solution to a defined opportunity
- Needs to be able to work with Business and engineers alike
- Strong strategic thinking skills
- Excellent customer service skills
- High levels of curiosity, initiative, integrity, and flexibility
- Minimum age of 18
- Must be authorized to work in the U.S.
- Must be able to lift 50 lbs
Desired Qualifications
- Strong background in technologies such as Apache Spark, data lakes, and distributed computing
- Demonstrated experience with technical project delivery, including managing project scope and timelines
- TOGAF
- Azure Solutions Architect Expert
- Databricks Certifications: Generative AI, Engineering Fundamentals, Azure Platform Architect
- A broad set of experiences with different technical/software architectures
- Experience working using Agile methodology
- Deep technical expertise with strong communication and collaboration skills
- Adept at understanding complex business domains and translating them into robust data architectures that meet requirements for quality, performance, and security
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