Azure Data Architect

We Are hiring Immediate Joiners only

Skills and attributes for success

Strong understanding & familiarity with all Cloud Ecosystem components

Strong understanding of underlying Cloud Architectural concepts and distributed computing paradigms

Experience in the development of large scale data processing.

Hands-on programming experience in Microsoft Fabric, ADB, ADF, Synapse, Python, PySpark, SQL

Hands-on expertise in cloud services like AWS, and/or Microsoft Azure eco system

Solid understanding of ETL methodologies in a multi-tiered stack with Data Modelling & Data Governance

Experience with BI, and data analytics databases

Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.

Experience in Enterprise grade solution implementations.

Experience in performance bench marking enterprise applications

Strong stakeholder, client, team, process & delivery management skills

To qualify for the role, you must have

Design and propose Azure-based data and AI solutions that align with customer objectives and solve business challenges.

Develop and present demonstrations, prototypes, and PoCs to showcase the value and capabilities of the proposed solutions.

Create technical proposals, presentations, and respond to requests for proposals (RFPs) and information (RFIs).

Lead the technical aspects of project delivery, ensuring that implementations align with the initial solution design.

Define and implement best practices and agile methodologies for the delivery of scalable Cloud solutions.

Provide expert guidance on data strategy, cloud architecture, and the technology stacks needed for data modernization, AI, and machine learning workloads.

Data: Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, and Cosmos DB.

AI/ML (knowledge): Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI.

Minimum 7 years hand-on experience in one or more of the above areas.

Minimum 10 years industry experience

Ideally, youll also have

Project management skills

Client management skills

Solutioning skills

Your key responsibilities

Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies, including data acquisition, transformation, analysis, Modelling, Governance & Data management skills

Interact with senior client technology leaders, understand their business goals, create, propose solution, estimate effort, build architectures, develop and deliver technology solutions

Define and develop client specific best practices around data management within a cloud environment

Recommend design alternatives for data ingestion, processing and provisioning layers

Design and develop data ingestion programs to process large data sets in Batch mode using ADB, ADF, PySpark, Python, Snypase

Develop data ingestion programs to ingest real-time data from LIVE sources using cloud services, Spark Streaming and related technologies

Have managed team and have experience in end to end delivery

Have experience of building technical capability and teams to deliver

Good to have experience on IOT with real-time analytics.

Prefered domain Energy, Oil & Gas

AI/ML (Strong knowledge): Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI.