Position: Data Architect
Company: eTeam
Category: Lead
Experience required: 5y
English level: upper

We are looking for a Data Architect who will be supervising Data Warehouse projects in eTeam.

Responsibilities:

- Define the technical product strategy and road map
- Interacting closely with a development team by leading product development and customer integration activities
- Elicit business needs and requirements, determine the scope, team, and timelines for our new Data Warehouse Project
- Collaborate with our data development team either external providers to defining future-state data schema, model, and flow
- Creation of process and tools for master data management
- Designing a data quality control system
- Verify the stability, interoperability, portability, security, or scalability of existing and new data architectures
- Provide mentorship, technical expertise, and recommendations on the current and emerging data strategies and platform trends to our team of data engineers and scientists, and customer

Requirements:

- Computer science or related engineering degree and 6+ years of professional experience as a Data Engineer/Data Architect
- Experience with end-to-end implementation (from vision to hand-over to production) medium or large-scale Data Management solutions: DWH/Big - - Data analytics/Master Data Management
- 2+ years of hands-on experience with Snowflake Technology Stack
- Experience in creating and maintaining ETL/ELT pipeline architecture
- Expert experience in major RDBMS, BigData, and Cloud tech stacks
- Hands-on with at least one of the mainstream development stacks Python/Java/Scala
- Experience with DevOps and engineering best practices, especially Docker, Git, testing in Python
- Knowledge of using a Business Intelligence platform (Looker, PowerBI, Qlik)
- Experience in creating data quality, security, and governance procedures

It will be a plus:

- Industry-specific knowledge and experience (b2b lead generation)
- Experience in the pre-sale process
- Proficiency with cloud infrastructure GCP, AWS
- Knowledge in statistics and understanding of machine learning algorithms
- Worked in an agile environment
- Worked on predictive modeling for relevant use cases, such as  ICP definition, churn prediction, leads forecasting, predictive marketing

We offer:

- Grow professionally with subsidized certifications, courses, and conferences
- Improve your English with conversation clubs and direct client communication
- Enjoy our extra perks: remote work, unlimited vacation, flexible schedule, bonuses for important life events, fresh food & snacks in the office
- Let loose with fun parties, BBQs, online activities, and off-sites