In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
As an Azure Data Architect, you directly help clients transform their business and solve complex problems. You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms. You are a technical leader, serving as a liaison among business partners, technical resources, and project stakeholders
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
- Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform
- Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation
- Contribute to reusable components / asset / accelerator development to support capability development
- Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies
- Participate in customer PoCs to deliver the outcomes
- Candidates must have experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems
- 10 - 15 years of experience in data engineering and architecting data platforms
- 5 – 8 years’ experience in architecting and implementing Data Platforms Azure Cloud Platform.
- 5 – 8 years’ experience in architecting and implementing Data Platforms on-prem (Hadoop or DW appliance)
- Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow. Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks
- Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc
- Candidates should have experience in delivering both business decision support systems (reporting, analytics) and data science domains / use cases