Data Architect – Azure, Big Data

Role Overview

• Own and aggressively drive forward specific areas of Azure technology architecture and provide architectural solutions/designs to project execution teams for implementation.
• Provide architectural assessments, strategies, and roadmaps for one or more technologies including ADLS and Synapse (formerly known as ADW)
• Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling, visualization, AI, and analytics
• Design and Build Azure Data services including ADF, ADL, AMM, ADLS, ADW, Power BI, AML, ABS, and other services within the Azure data framework
• Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
• Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
• Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations determine Project and solution estimation and team structure definition
• Support multiple Agile Scrum teams with planning, scoping, and creation of technical solutions for the new product capabilities, through to continuous delivery to production.
• Provide end to end vision and hands-on experience with Azure Cloud Platform
• Provide vision and leadership to define the core technologies necessary to meet client needs including development tools and methodologies, package solutions, systems architecture, security techniques, and emerging technologies
• Liaise with offshore team and clients for resolving technical dependencies, issues, and risks.
• Mentor and provide architectural guidance to multiple teams building innovative applications.
• Drive common vision, practices, and capabilities across teams.
• Engage with business stakeholders to understand required capabilities, integrating business knowledge with technical solutions
• Engage with Technical Architects and technical staff to determine the most appropriate technical strategy and designs to meet business needs
• Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team, and driving change.

Requirements

• At least 10+ years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems particularly in Azure
• Most recent 2+ years of experience in delivering large scale Azure projects
• At least 5+ years real-time and streaming experience in Azure-based data solutions
• At least 3+ years in presales and demo using Azure data services including ADW and ADLS
• At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
• At least 5+ years of demonstrated experience at least in the most recent 2+ years of designing and delivering solutions using the Cortana Intelligence suite of analytics services part of Microsoft Azure including Azure Machine Learning Studio, HDInsight, Polybase, Azure Data Lake Analytics, Azure Data Warehouse, Streaming Analytics, Data Catalog, R/R Studio
• Should have experience designing service management, orchestration, monitoring, and management requirements of the cloud platform.
• At least 3+ years of experience in migrating large volumes of data using standard Azure automation tools from on-premise and cloud infrastructure to Azure
• Ability to produce high-quality work products under pressure and within deadlines with specific references
• VERY strong communication, solutions, and client-facing skills especially non-technical business users
• At least 5+ years of working with the large multi-vendor environment with multiple teams and people as a part of the project
• At least 2+ year of working with Power BI
• At least 5+ years of working with a complex Big Data environment using Microsoft tools
• 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolsets.

Tech Stack

• Azure
• Cloud
• Hadoop
• TFS

Benefits

• Flexible work arrangements
• Professional development