The Role
The Senior Architect - Data will lead data engagements on GCP, manage data projects, design scalable data solutions, and mentor team members.
Summary Generated by Built In
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:
- 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:
- 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.
- 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!
Skills Required
- 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)
- Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions
- Experience in distributed computing and enterprise environments like Hadoop and Cloud platforms
- Knowledge of Data Integration and ETL technologies on Cloud
- Deep knowledge of Cloud and On-Premise Databases
- Preferred experience with Machine Learning Frameworks like TensorFlow or Pytorch
- Good understanding of Cloud solutions and architectures
- Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud
- Good understanding of BI Reporting and Dashboarding tools
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
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The Company
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
