Senior Solutions Architect

• Work in tandem with business and technical leaders and stakeholders
• Help with the necessary front-end design, UX, UI, and back-end needs by sizing, scoping, and ranking them
• Demonstrate a strong understanding of how to size, scope, and prioritize technical solutions across multiple concurrent client engagements
• Gather, organize, and prioritize requirements for new builds while improving existing builds
• Assist with technical ideation of new features to expand the Mochi suite (analytics and data services) of product solutions
• Work with front-end developers, designers, data scientists, engineers, product leads, business leads, and product managers to develop both client solutions and sophisticated analytics and data services applications
• Create unique SaaS, Big Data, and associated software that can be used by internal employee stakeholders, larger adjacencies stakeholders, and external client user stakeholders
• For the purposes of ingesting, syncing, parsing, and processing complicated data streams, create automated data pipelines (input and output)
• Designs and develops the target state plan for the systems employed throughout the various business lines, from client prospecting to disengagement
• Integrate a number of third-party APIs and additional datasets from various sources into one (or more) specially designed measurement and visualization platforms
• Be a liaison between the various groups while leading design teams, defining a development strategy, and communicating with your team and the organization for which you work

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a solution architect
• 5+ years of relevant experience with significant client-facing roles
• Extensive content knowledge in Data Modeling and/or big data analytics is a plus
• Prior experience and comprehension of KPIs, ROAS & other retail/e-commerce platform/seller/merchant data metrics is nice to have
• Being a strong leader and influencer who can execute tactically and strategically in a startup-like atmosphere is essential
• Thorough understanding of enterprise/b2b clients' needs and the capacity to cooperate and translate these needs into product features is nice to have
• In-depth Cloud architecture knowledge is preferred
• Extensive knowledge of relational databases and ETL technology
• Ability to analyze complex, multivariate data sets automatically using Python and other similar scripting languages from a range of sources
• Ability to read technical whitepapers, PRDs, BRDs, and other such documents in order to understand, translate, and assist in writing applicable project and product requirement specs
• Strong familiarity with the most widely used and ubiquitous database design & development technologies, with extensive expertise in architecting automated decisions of structured and unstructured huge data sets in real-time
• Solid track record of developing engaging interactive apps, data visualizations, and GUIs
• Experience developing apps using human interface principles is preferred
• Prior knowledge of batch data processing and/or development of real-time analysis systems
• Proficient experience using source version control is nice to have
• Prior experience with client-facing communications and collaborations
• Ability to switch between complicated data/SaaS-related coding and business development
• Prolific fluency with data and experience with data visualization
• Excellent collaboration and a drive to mentor newcomers to your field are needed
• Solid understanding of physical measurement principles, advanced statistical analysis, and mathematical modeling techniques is preferred
• Nice to have some background in developing, implementing, and maintaining machine learning systems
• Recent professional experience working in shopping, e-commerce, and retail sales and performance data analytics is preferred
• Nice to have some knowledge of modern database best practices
• Familiarity with NoSQL databases like MongoDB is desirable
• Excellent English communication skills