Architect - Azure

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you
- you would enjoy your career with Quantiphi

Role: Architect - Azure
Experience Level: 10 Years and above
Work location: Mumbai, Bangalore & Trivandrum

Role & Responsibilities:
- Work with a team of architects, engineers, project managers and customer stakeholders to solve big data problems by:
- Creating a migration strategy of existing data platforms from on-premise to the cloud or from one cloud to another. The plan could include providing a point-of-view on the choice of cloud and/or services to be used on the cloud, re-architecting the platform to enable the solution on a chosen cloud keeping in mind the latest trends and technologies.- Architecting and implementing a completely new Data platform aligning with the data strategy and business objectives of the client.-
- Diagnosing and troubleshooting complex distributed data systems problems and developing solutions with a significant impact at a massive scale.-
- Building tools to ingest and jobs to process several terabytes or petabytes per day.- Strong experience of working with Azure Synapse Analytics, Azure Data Factory and Microsoft Fabric platform.- Good understanding of data solutions paradigms like data lake, data mesh, data fabric, data lakehouse.- Designing and developing next-gen storage and compute solutions for several large customers in the healthcare & life sciences space.- Being involved in proposals, and RFPs and providing effort estimates, solution design etc.- Communicating with a wide set of teams, including Infrastructure, Network, Engineering, DevOps, SiteOps teams, Security and cloud customers.- Building advanced tooling for automation, testing, monitoring, administration, and data operations across multiple cloud clusters.- Developing a better understanding of Data modeling and governance.

Must Have Skills:
- 12+ years of hands-on experience in data architectures, cloud, data structures, distributed systems, Hadoop and Spark, SQL & NoSQL databases-
- Strong software development skills in at least one of: Python, PySpark, Java, Scala- Strong experience of working with SQL and/or PL/SQL using any RDBMS- Experience in building and deploying Azure-based data solutions at scale using Azure as well as other third-party products like Databricks, Snowflake, etc.- Experience in developing large-scale enterprise big data solutions (migration, storage, processing) to accommodate structured, semi-structured, and unstructured data.- Experience in different medical imaging formats like DICOM, WSI, etc., & different health data formats like HL7, FHIR, etc.- Experience in building and supporting large-scale systems in a production environment- Designing and development of ETL, ELT pipelines- Requirement gathering and understanding of the problem statement- End-to-end ownership of the entire delivery of the project- Designing and documentation of the solution- Knowledge of RDBMS & NoSQL databases- Experience in any of Kafka, Kinesis, Cloud Pub-Sub- Experience in any of the Cloud Platforms - Azure + AWS or GCP Big Data Distributions- Experience in Spark in any processing frameworks like Apache Spark / CDH / HDP / EMR / Google DataProc / Databricks- Experience in any of Airflow, Oozie, Apache NiFi, Google DataFlow Message/Event Solutions- Exposure to reporting tools (at least one of Power BI, Tableau, Looker)- Experience in code versioning using Git and DevOps for CI/CD
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us__