Position: Data Architect, Azure
Company: DataArt
Category: Data Science
Experience required: 5y
English level: upper
Published: 2021-06-01T00:00:00+03:00

DataArt's Data & Analytics team enables new business opportunities that emerge from the modern data-related demand. We provide technical and consulting expertise. We support sales and marketing activities. We guide implementation teams. We drive projects from lead to opportunity to "seed" stage to full scale.

Responsibilities:

Drive and be accountable for solution designs and discovery exercises for both new and existing clients
Elicit business needs and requirements, determine project's scope, team, and timeline
Lead project implementation from ideation to completion
Surve as a top-level escalation point for technical and process concerns, which may arrive from either the implementation team or client (or both)
Mentor everyone on your team (including developers, QAs, BAs, PMs, DevOps, business stakeholders, and yourself)
Read, listen, and learn a lot

Must have:

Solid experience as an Architect/Tech lead – from 5 years in commercial projects
Know what a "customer-centric attitude" is
Can communicate clearly and consciously – both verbally and in writing
Experience with end-to-end implementation (from vision to hand-over to production) of at least 3 medium or large scale Data Management solutions: DWH/BI/Reporting/Big Data analytics/MDM/Metadata Management
3+ years of hands-on experience with Azure Data Platform (ADLS gen2, ADF, Databricks, Synapse, Azure SQL Server, Power BI Service/Embedded/Server, Azure Data Explorer/Kusto, Azure Functions, etc.)
Expert experience in major RDBMS, BigData, and Cloud tech stacks. (Microsoft SQL Server is a must!)
Hands-on with at least one of the main-stream development stacks (Java/.NET/Python etc.)
Good understanding of architecture principles, platforms, and best-practices
You know what's inside TOGAF and DAMA DMBOK 2nd edition (especially – Chapter 3 and Chapter 15)
Some business analysis skills
Experience with customers from small/mid-size businesses