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Principal Architect - DE

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Quantiphi

Aug 29

  • Job
    Full-time
    Expert Level
  • Data
    Software Engineering
  • Mumbai
    Remote
  • Quick Apply

AI generated summary

  • You must have 15+ years in technical roles, 5+ years in cloud data solutions, strong ETL, data integration, architecture skills, and experience with BI tools, security, and ML frameworks.
  • You will architect and manage data solutions, design data pipelines, mentor talent, liaise with stakeholders, support sales, ensure data quality, and drive cloud migration projects.

Requirements

  • - More than 15 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 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.
  • - 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
  • - Be a trusted technical advisor to customers and solutions for complex Cloud & Data related technical challenges.
  • - Be a thought leader in architecture design and development of cloud data analytics solutions.
  • - Liaison with internal and external stakeholders to design optimized data analytics solutions
  • - Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers
  • - Support Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWs
  • - Lead discovery and design workshops with potential customers across the globe
  • - Design and deliver thought leadership webinars and tech talks alongside customers and partners.
  • - Identify areas for productization and feature enhancement for Quantiphi’s product assets

Responsibilities

  • More than 15 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 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.
  • 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
  • Be a trusted technical advisor to customers and solutions for complex Cloud & Data related technical challenges.
  • Be a thought leader in architecture design and development of cloud data analytics solutions.
  • Liaison with internal and external stakeholders to design optimized data analytics solutions
  • Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers
  • Support Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWs
  • Lead discovery and design workshops with potential customers across the globe
  • Design and deliver thought leadership webinars and tech talks alongside customers and partners.
  • Identify areas for productization and feature enhancement for Quantiphi’s product assets
  • 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

FAQs

What is the role of the Principal Architect - Data & Cloud at Quantiphi?

The Principal Architect is responsible for architecting, designing, and implementing data solutions, managing data lakes, and providing technical guidance on cloud and data-related challenges.

What is the required experience for this position?

Candidates should have 14-20 years of experience, with at least 5 years specifically in building and managing Data Lakes, Data Warehouses, and related solutions on Cloud platforms like GCP, AWS, or Azure.

Where is this position located?

The work location is in Mumbai or Bangalore.

What are the primary responsibilities of this role?

Responsibilities include leading data projects, understanding business requirements, designing data integration solutions, mentoring team members, and supporting pre-sales activities.

What technologies should a candidate be familiar with for this role?

Candidates should be well-versed in cloud technologies (GCP, AWS, Azure), data integration and ETL tools (e.g., Spark, Informatica), and databases (both SQL and No-SQL).

Is there an emphasis on machine learning in this position?

Yes, preferred experience includes working with machine learning frameworks such as TensorFlow or PyTorch.

Will the Principal Architect work with multiple stakeholders?

Yes, the role involves interfacing with various stakeholders within IT and business to understand and address data requirements.

What is the company's culture like?

Quantiphi fosters a diverse and transparent culture that encourages innovation, personal growth, and teamwork among its employees.

Are there opportunities for mentoring in this role?

Yes, the Principal Architect will mentor young talent within the team and help define and track their growth parameters.

What kind of support does this role provide to the sales team?

The Principal Architect supports the sales team by assisting with RFPs, RFIs, and developing technical solutions for data-related proposals.

What benefits are offered with this position?

Benefits include flexible remote working options, the opportunity to work in a high-growth startup environment, and the chance to contribute to transformative projects in AI and Big Data.

Pioneering AI-first solutions, solving complex business challenges through expertise, cloud, data engineering, and AI.

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Quantiphi is a leading applied AI and data science company that focuses on solving complex business challenges by leveraging cutting-edge machine learning, AI, and big data technologies. The company offers solutions across various industries, helping businesses enhance their decision-making, automate processes, and drive transformative outcomes. Their ultimate goal is to harness the power of AI to create value and drive meaningful impact for their clients. Quantiphi aims to empower organisations with intelligent, data-driven insights that accelerate growth and foster innovation.