Senior Architect - Data
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Before you apply
LocationIN KA Bengaluru
Also inMumbai; Bangalore; Trivandrum
Work modehybrid
Typefull-time
SenioritySenior
Experience10+ yrs
Company size1,001–5,000 people
PostedApr 15, 2026 · 6mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
More than 10 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.
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 MongoDB, 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 tool sets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, 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 Reporting and Dashboarding and one or more tool sets 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
Strong Communication and Articulation Skills
Good Leadership Skills
Should be a good team player
Good Analytical and Problem-solving skills
Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.
Skills
GCP
AWS
Azure
Spark
Pyspark
Scala
Dataflow
DataProc
EMR
Informatica
DataStage
OWB
Talend
Cloud SQL
Cloud Spanner
Big Table
RDS
Aurora
DynamoDB
Oracle
Teradata
MySQL
DB2
SQL Server
MongoDB
CouchDB
Cassandra
Graph dB
Big Query
Redshift
S3
Cloud Storage
Athena
Glue
Sqoop
Flume
Hive
Kafka
Pub-Sub
Kinesis
Airflow
Composer
Spark SQL
Presto
EMRFS
TensorFlow
PyTorch
Looker
Tableau
Power BI
SAP BO
Cognos
Superset
About the company
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!
Designation: Architect - Data
Experience Level: 10+ Years
Location: Mumbai/Bangalore/Trivandrum (Hybrid)
Role & Responsibilities:
Requirements
•
Morethan10yearsofexperience in Technical, Solutioning, and Analytical roles.
•
5+yearsofexperience 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.
•
Experiencein architecting, designing, and implementing end to end data pipelines and data integration solutions for varied structured and unstructured data sources and targets.
•
Experienceof having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.
•
Wellversedwithvarious Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud.
•
Experienceof having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc.
•
DeepknowledgeofoneormoreCloudandOn-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
•
ExposuretoanyoftheNo-SQLdatabases like MongodB, CouchDB, Cassandra, Graph dB, etc. Architect- Data
•
Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift.
•
Experiencein having worked on one or more data integration, storage, and data pipeline tool sets 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.
•
Goodunderstanding 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.
•
Goodunderstanding of BI Reporting and Dashboarding and one or more tool sets 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.
•
Experienceof having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure.
Role:
About the role
•
Leadmultiple 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.
•
Takecompleteresponsibility 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.
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Implementprocesses 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.
•
WorkwiththePre-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:
•
StrongCommunication and Articulation Skills.
•
GoodLeadershipSkills.
•
Shouldbeagoodteamplayer.
•
GoodAnalytical and Problem-solving skills
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us*!*