Job Location: Bangalore/Bengaluru
Understand customers overall data estate Business and IT priorities and success measures to design data solutions that drive business value.
Ensure long term technical viability and optimization of production deployments, and lead and advise on migration and modernization using key Azure Data services such as: Azure SQL Database, Azure SQL Managed Instance, SQL Server on Virtual Machines, etc
Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. Azure Synapse, Azure Data Factory, Azure Data Lake, Databricks, Azure Data Explorer, Power BI etc.)
Work with multiple customers to implement POCs/MVPs, guide customers through to production deployment, operationalization, troubleshooting, and optimization of their production deployments, resolve blocker escalations, provide technical recommendations and architecture design
Ensure customer deployments and solutions exhibit high levels of performance, security, scalability, maintainability, and reliability for new and existing deployments
Working across multiple pillars of Data AI RDBMS, NoSQL, Analytics, AI
Identify and build technical collateral or technical assets that helps the Microsoft field accelerate Azure consumption
Serve as the technical lead and interface between Azure field teams and Engineering, share best practices and insights to drive product improvement
Develop deep relationships with key customer decision makers (both Business and IT) who drive long – term innovation and data platform adoption within their company to enable them to be Azure data advocates
Be an Azure Platform evangelist with customers, partners and external communities.
Qualifications
Technical Expertise:
Enterprise – scale technical experience and depth with one or more areas of the Azure data platform (Azure SQL – Azure SQL Database, Azure SQL Managed Instance, SQL Server on Virtual Machines, or equivalent) (required)
Hands – on experience with relational and NoSQL databases (Azure or equivalent) with knowledge of key differentiation to determine best fit for use cases and applications
Knowledge of SQL on premise and/or ARC – enabled SQL services
Knowledge and understanding of all pillars of Data AI Data (RDBMS, NoSQL), Analytics, and AI/ML
Working with structured and unstructured data in Big Data scenarios using technologies such as Azure Synapse, Snowflake, Big Query, Redshift, HDInsight, Hadoop, Cloudera and Spark
Experience with large scale data lake concepts for enterprise customers.
Advanced Analytics using technologies such as Databricks and Spark.
Developing streaming workloads using technologies such as Spark streaming, Kafka and Storm.
Visualization tools such as PowerBI, Tableau and Qlik.
Data governance, cataloguing and lineage.
Experience with design and creation of product or other assets, such as accelerators
Hands on experience creating data solutions for customers that lead to production deployments, and optimization of those deployments
Breadth of technical experience and knowledge (preferred):
o Application development skills, scripting, deployment automation
o Performance tuning and optimization
o High availability / disaster recovery
o Relational database migrations across SQL Server and OSS database technologies, modernization from on – prem to the cloud
o Experience working with structured and unstructured data in Big Data scenarios using technologies such as SQL Data Warehouse, Snowflake, Big Query, Redshift and data lake concepts
o Database architecture
o Debugging DB related issues
o Production level expertise, preferably in a services or product engineering role
Competitive Landscape: Knowledge of data platforms such as AWS, GCP, Oracle, IBM, Snowflake, etc.
7+ years working with large Enterprise customers and field communities in consulting or similar roles, leading deployment projects, architecture, design, implementation of Data or Analytics based solutions OR: 7+ years of experience in building products and services as part of Engineering teams in engineering positions (required)
Professional Expertise:
Problem Solving. Ability to solve customer s data problems through various cloud technologies (required)
Relationship Building. Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams (required)
Good business acumen to quickly understand the customer s industry and business to have relevant discussions with business decision makers.
Collaboration and Communication. Acknowledged for driving decisions collaboratively, ability to communicate data concepts effectively with business and technical audiences, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills.
Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects.
Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT Management, Data Engineers) (required)
Education
Bachelors degree in Computer Science, Data Science, Information Technology or related field preferred
Experience
Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, Google, IBM, etc. desired
Prior solution delivery or engineering experience
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