Azure Databricks Sr Architect

Birlasoft; Pune District; On-site; INR 5,000,000 - 7,500,000; Full time

Job summary

Birlasoft is seeking a Senior Azure Architect to lead scalable data architecture across Azure Data Lake, Synapse, Databricks and Data Factory. The role emphasizes designing end-to-end analytics solutions, data pipelines, and data models, with hands-on cloud experience.

Ideal candidates will have 15+ years in the field, strong client-facing skills, and a proven track record in delivering Azure-based analytics solutions at scale.

Qualifications

• 12-15 years of industry experience and at least 3 years in architect role are required
• 3-4 years’ experience designing and building analytics solutions in Azure
• Experience in architecting data ingestion/integration frameworks for structured, semi-structured & unstructured data
• Hands-on design of reporting schemas, data marts and reporting solutions

Responsibilities

• Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations
• Design and Develop the Data lake, Data warehouse using Azure Cloud Services
• Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
• Drive the design, sizing, POC setup, etc. of Azure environments and related services
• Review solution requirements to ensure appropriate technology selection and efficient resource use
• Possess strong client-facing experience to facilitate requirements sessions and lead teams
• Support internal presentations to technical and business teams
• Provide technical guidance, mentoring and code reviews

Skills

Azure Databricks Sr. Architect

Python

Pyspark

Data Factory

Data Lake

Tools

Azure Synapse

Data Factory

Azure Data Lake Storage

Databricks

SSIS

Azure Analysis Services

Job description

Job Description:

Area(s) of responsibility

Skills: Azure Databricks Sr. Architect, Python, Pyspark, Data Factory, Data Lake

Experience: 15+ years

Location: Mumbai/ Pune/ Noida/ Bangalore/ CHennai/ Hyderabad

Responsibilities:

• Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
• Design and Develop the Data lake, Data warehouse using Azure Cloud Services
• Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
• Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
• Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
• Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
• Support internal presentations to technical and business teams
• Provide technical guidance, mentoring and code review, design level technical best practices

Experience Needed:

• 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
• Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
• Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
• Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
• Worked with transactional, temporal, time series, and structured and unstructured data.
• Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).

Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python