Data Architect - Data Analytics & Visualization Team - Product Startup

We're looking for an experienced Data Architect to lead our data analytics and visualization team to help generate valuable insights for our customers and our product.

Key Responsibilities :

- Interface with data scientists/analysts, product managers, and business stakeholders to understand data needs and help build data products that scale across the company

- Drive the design, building, and launching of new data models and data pipelines in production that are scalable, secure and highly available

- Build data expertise and own data quality for allocated areas of ownership

- Write/Review code in addition to pairing with team members on functional and non-functional requirements and spread design philosophy, goals and improvements to code quality across the team

- Identify and confirm technical design risks, and develop mitigating approaches, judge the trade-offs with technology and feasibility and make choices that fit the constraints of the project.

- Demonstrates comprehensive decision-making authority over technical issues, project policies, standards, and strategies

- A/B Test: Analyze, consolidate, and present test results. Uncover friction points to continuously iterate and improve products or features

Desired Skills and Experience :

- 7+ years overall experience, with minimum 2+ years in data visualization or ML, with hands-on participation.

- Experience working with both SQL and No-SQL databases, data visualization technologies and cloud infrastructure platforms

- Experience with large-scale data analysis, data-mining, and business intelligence systems

- Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management

- Proven deep technical expertise and hands-on involvement in designing, architecting and executing large scale cloud solutions for data analytics and other complementary services like compute, workflow and server less

- Strong experience in Agile methodology and ability to deliver in a global team environment with members working remotely in various time zones