(18/09/2025) Data Architect

Role: Technical Architect - Data

Experience Level: 10 to 15 Years

Work location: Mumbai, Bangalore, Trivandrum (Hybrid)

Notice Period: Any

Role & Responsibilities:

- More than 8 years of experience in Technical, Solutioning, and Analytical roles.
- 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Business Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure).
- Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc.
- Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions for varied structured and unstructured data sources and targets.
- Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.
- Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud.
- Experience of having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc.
- Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
- Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.
- Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift.
- Experience in having worked on one or more data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc.
- Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.
- Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design.
- Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.
- Good understanding of BI Reposting and Dashboarding and one or more toolsets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc.
- Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure.
- Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure.

Role:

- Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.
- Interface with multiple stakeholders within IT and business to understand the data requirements.
- Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.
- Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems.
- Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data.
- Mentor Young Talent within the Team, Define and track their growth parameters.
- Contribute to building Assets and Accelerators.

Other Skills:

- Strong Communication and Articulation Skills.
- Good Leadership Skills.
- Should be a good team player.
- Good Analytical and Problem-solving skills.