About the job
As a Group Manager, Data Engineering, you use modern data engineering techniques and Advanced Analytics methods to give your clients the information they need. You collect, aggregate, store and reconcile data from multiple sources, helping to design and build data pipelines, streams, reporting tools, data generators and a whole range of tools to provide information and insight. You know how to read the patterns and trends that influence business outcomes.
Day to day you will:
- Developing and implementing an overall data strategy that is in line with business processes. The strategy includes blue printing of data ecosystem , data model patterns, database development standards, data analytics systems.
- Guiding the delivery team to implement the data program
- Implement analytics solution
- Performing various presales activity and working with Partners for GTM strategy
- Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.
- Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
- Defining and managing the flow of data and dissemination of information within the organization.
- Integrating technical functionality, ensuring data accessibility, accuracy, and security.
- Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders
- Translate business requirements to technical solutions leveraging strong business acumen
- Analyzes current business practices, processes, and procedures and identifies future business opportunities for leveraging Microsoft Azure Data & Analytics Services.
- Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
- Delivery of data transformations and modernizations of enterprise data solutions using Azure cloud data technologies.
- Design and Build Modern Data Pipelines and Data Streams.
- Design and Build Data Service APIs
- Responsible for the quality assurance of all architecture and design deliverables (e.g., technical documents)
- Responsible for preparing High-Level Design (HLD) document
- Manage, highlight, and resolve any design integration risks/issues with relevant business and stakeholder
- Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and Advanced Analytics.
- Expose data to end users using PowerBI, Azure API Apps, or any other modern visualization platform or experience.
- Implement effective metrics and monitoring processes.
- Manage Data Governance in the enterprise and improve data governance, data quality, and master data practice
- Act as an Advisor for Data Governance processes, frameworks, standards, and architectures
Your skills
You’re an organized problem-solver with a talent for business, whose knowledge and experience helps turn business needs into solutions. You guide and support your team, whether at home or around the world, to provide successful and accessible data analytics that solve real-world problems.
Your technical and non-technical skills include:
- Minimum 10 years experience in similar capacity, with 4+ years of experience working with large complex enterprises, architecting & implementing large-scale data projects through Azure Data services
- Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, data migrations, and technology management
- Demonstrated experience in turning business use cases and requirements into technical solutions.
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flow.
- Ability to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.
- Expert knowledge of Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL, and Data Bricks is required.
- Knowledge of Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics & Python is a plus.
- End-to-end data migration from legacy data platform to cloud data services experience is plus
- Experience in Big Data management & processing using tools such as Hadoop, Spark
- Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Factory, Talend, EAI
- Experience in database and data warehousing with SQL, NoSQL & RDBMS such as MS SQL, AWS DynamoDB, etc.
- Knowledge of Lambda and Kappa architecture patterns.
- Knowledge of Master Data Management (MDM) and Data Quality tools and processes
- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals.
- Working experience with Visual Studio, PowerShell Scripting, and ARM templates
- Ability to orchestrate, lead, and influence remote teams, ensuring successful implementation of customer projects
Why Avanade
We think big and achieve, knowing we have a global team of people who are just as passionate about innovating as we are. That’s why growth at Avanade doesn’t have to look like a traditional ascent up the career ladder (although that is an option). We welcome people to go deep into their specialities and to embrace agility and go after new skills in different areas of the business. Together we go beyond.
Avanade demonstrates how it continues to challenge the status quo.
[ https://www.avanade.com/en/blogs/inside-avanade/women-at-avanade/avanade-challenge-status-quo ]
[https://www.avanade.com/en/blogs/inside-avanade/women-at-avanade/breaking-bias-strength-growth ]
[https://www.avanade.com/en/blogs/inside-avanade/avanade-spotlight/have-the-tech-career-you-want/]
