Position overview / Objective of the position:

In this position You will own the Data Platform & Advanced Analytics technical engagements including architectural design sessions, specific implementation projects and/or MVPs. The ideal candidate will have experience in leading deep technical architecture discussions with senior executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to productions.

Main tasks / Key responsibilities:

Key responsibility

%

●

Understand overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.

●

Apply technical knowledge to architect solutions that meet business and IT needs

●

Create Data Platform, Analytics and AI roadmaps

●

Be proficient with  SQL Server, Azure Synapse,  Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI

●

Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment

●

Develop relationships with key IT and business stakeholders, drive long-term cloud adoption

●

Collaborate in developing complex end-to-end Enterprise solutions on Microsoft Cloud platforms

●

Be an Azure Platform evangelist with customers, partners and external communities.

●

Share insights and best practices, connect with Engineering team to remove key blockers

●

Education:

Education level (minimum, major etc.):

●

Bachelor's degree in Computer Science, Information Technology, Engineer or related field preferred

Other:

●

Certification in any of Cloud, Database, Big Data, BI, Data Science, Machine Learning, AI

Knowledge and experience:

Areas of functional / technical expertise

Years MIN:

●

Prior work experience in a Consulting/Architecture position with IBM, Microsoft, Google etc.

5

●

Prior solution delivery experience in Analytic and AI specialized solution providers

5

●

Knowledge of AzureSQL, Cosmos, BigData, DW, Snowflake, Data Bricks, AzureML, PowerBI

5

●

Excellent knowledge in Data Governance, Data Engineering, Data Science, ML, Data Platforms

5

●

Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python

5

Other competencies:

Skills & Behaviors (e.g. leadership, communication, decisiveness, project management, PC skills, agile delivery etc.):

●

Communicate and work with clients on analytics problem definition, mathematical formulation (profit equation), model(s) scoping, data source selection (in-house and 3rd party), performance metrics and implementation

5

●

Self-motivated, result oriented, independent, culturally sensitive and team player

5

●

Good command of written and verbal English, additional languages are a plus

5