Solutions Architect

The Possibilities are Endless When You ChallengeTheNorm

Birlasoft combines the power of domain, enterprise, and digital technologies to reimagine business processes for customers and their ecosystem. Its consultative and design thinking approach makes societies more productive by helping customers run businesses. As part of the multibillion-dollar diversified CK Birla Group, Birlasoft with its 12,500+ professionals, is committed to continuing the Group’s 162-year heritage of building sustainable communities.

Cloud Data Analytics Architect – MedTech
As the Cloud Data Analytics Architect, you will play a pivotal role in leading our data analytics initiatives, providing pre-sales support, and offering technical advisory services to our clients.

Key Responsibilities:
Technical Advisory:
Serve as a trusted advisor to clients, providing strategic guidance on leveraging data analytics to drive innovation and outcome driven solutions.
Conduct in-depth assessments of clients' data infrastructure, analytics capabilities, and business processes.
Design and oversee the implementation of advanced data analytics solutions tailored to the unique needs of MedTech organizations.
Pre-sales and Business Development Support:

Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or a related field.
Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud and Artificial Intelligence.
5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud.
Deep hands-on experience in Azure Databricks and all AZURE related technologies and functionalities such as Azure Synapse is a MUST.
Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices.
Strong technical experience in major BI reporting tools like Power BI, Tableau, ThoughtSpot etc.
Strong ERP knowledge (SAP) in manufacturing, business acumen and ability to translate complex technical concepts into business value.

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