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As a Data and Analytics Reference Architect, you are responsible for defining the technology future for our Beaverton Client. They are a highly cross-functional team challenged with helping define our clients north star and how to get there. It’s in their nature to innovate, in addition to setting the technology direction; reference architecture is tasked with coming up with disruptive and innovative ways to solve game changing opportunities.
A passion for technology and solving interesting challenges.
Proven problem solver and pragmatic thinker.
Current knowledge of industry best practices
Bachelor's degree in Computer Science or Engineering Focused degree or equivalent work experience.
At least 10 years of experience in a lead development or architecture role(s).
At least 3 years as a lead architect
At least 3 years of experience with public and/or private cloud
Highly Skilled in one or more of the following (Java, NodeJS, Python, Bash)
Experience with Terraform, Cloud-formation or Troposphere
Industry expert in modern analytics practices and emerging technologies in CEP (Spark, Flink), Streaming (Kafka, Kinesis), Databases (different types & purposes - RDBMS/MPP, NoSQL, GPU, etc.), and machine learning / applied statistics (Tensorflow, MXNet, Torch, Scikit, other libraries)
10+ years combined hands-on engineering experience with public cloud, distributed computing, commercial off-the-shelf (COTS), and custom developed solutions
Proven track record of translating business requirements into end-to-end solutions.
Collaborative mind, able to work with a team to deliver the strongest solution.
Self-starter with high motivation and passion who thrives in an ever-changing, fast-paced environment with the ability to adapt to change.
Large enterprise experience including global experience with solution delivery.
Exceptional collaboration, listening, written and verbal communication skills with ability to facilitate technology strategy, requirements and architecture conversations with all stakeholders (management, business users, and technology resources).
Strong leadership, confidence, and influencing skills.
Data and Analytics Reference Architect – Day to Day Responsibilities:
The Data and Analytics Expert Reference Architect will typically split their day to day responsibilities between four main areas: influencing, solutioning, coding and innovating. Below we have listed details about each area and roughly the percentage of time expected to be allocated to each area.
Solutioning (30%): Once you define the overall reference architecture you must often dive deep into the specifics of the solution being built to support the customer. By digging deep into the overall solution, you will often uncover shortcomings of the reference architecture that should be updated and changed.
Develop vision, strategy and execution in alignment with Domain roadmap demand plans for technology. Translating cross organizational demand into consistent and unified architectures delivered through reference architectures and reference implementations.
Delivers technology solutions inclusive of on premise through cloud and COTS to custom developed solutions and all combinations. Analyzing solution implications from multiple vectors including but limited to: cloud native design, resource planning, financial cost optimization, performance optimization, disaster recovery, high availability, global network performance and location impact.
Creation and maintenance of Reference Architectures as required by business Domains and Platform teams.
Review and access solution approach documents created by Domain and Solution architects ensuring best practices are followed.
Manage a backlog for data and analytics for reference architecture by defining backlog stories and acceptance criteria.
Influencing (25%): Working alongside other architects, lead engineers and delivery leaders to ensure they understand what the work is and how it needs to be developed. In this role, you will often need to rely on your influence to get the work done as you defined, because it is often different from how individual teams would complete the same work.
Assume a lead role in the Reference Architecture function in defining the technology standards and practices for global use in the areas of Data Analytics, Integration and Web Application Architecture.
Alignment with technology strategies through strong technical thought leadership, evangelism and practice.
Works closely with other Reference Architects, Domain & Solution Architects, and Platform Engineering to ensure strategy and execution alignment.
Advocate and drive adoption of “best practices” to ensure standardization of Reference Architectures across the Enterprise.
Works closely with Data Governance Community to support enterprise data quality goals
Innovating (20%): Keep in touch with the direction of architecture in the industry and a good pulse on what the enterprise is working on. Understanding that sometimes we need to drive a proof of concept to understand the art of what is possible.
Ensures the Technology keeps up with latest technology industry trends, product and solutions through research, meeting with industry partners.
Create proofs of concept with new and disruptive technologies.
Provide architectural guidance and direction for Technology Innovation Initiatives.
Create Reference Architectures and Reference Implementations from proven disruptive technologies for scaled innovation.
Create the Future (15%): Define the direction of Data and Analytics enterprise architecture in partnership with domain architects and business needs.
Create enterprise roadmap for use of Data and Analytics technologies.
Identify technology, techniques and capabilities needed to mature existing platforms.
Coding (10%): Many of our engineering teams are learning about our new reference architectures and implementations. The ability to work alongside other teams and help code solutions is important to our success and ability to influence those teams on the art of possible.
Effectively manage priorities, deliverables and timeline's with little need for escalation.
Proving effectiveness and providing repeatable real-world examples of Reference Architectures in practice through the creation of Reference Implementations in the form of working deployable, production ready code.
Review and access existing solutions to harvest for reference architecture patterns. Create reference implementations to prove their viability and make available to the enterprise.
Create proofs of concepts to validate and test new technology and approaches.
Interested? Please send your resume to email@example.com to apply!
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