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Senior Architect - Data

Senior Architect - Data

QuantiphiThiruvananthapuram, IN
30+ days ago
Job description

Company Profile

Quantiphi is an award-winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for the Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

We believe in “Solving What Matters”

Company Highlights

  • Quantiphi has seen 2.5x growth YoY since its inception in 2013
  • Winner of the “Machine Learning Partner of the Year” award from Google for two consecutive years - 2017 & 2018
  • Winner of the “Social Impact Partner of the Year” award from Google in 2019
  • Winner of the “Data & Analytics -Specialisation Partner of the Year” and “US Education - Public Sector Partner of the Year” award for 2020

Role : Senior Architect - Data

Experience in Years : 14 - 20 years

Work location : Mumbai / Bangalore

Responsibilities :

  • More than 15 years of experience in Technical, Solutioning, and Analytical roles.
  • 5+ years of experience in building and managing Data Lakes, Data Warehouses, Data Integration, Data Migration, and Business Intelligence / Artificial Intelligence solutions on the Cloud (GCP / AWS / Azure)
  • Ability to understand business requirements, translate them into functional and non-functional areas, and 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 the 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 the 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

    • 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, and 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.

    • What’s in it for you?

  • The experience of working in a category-defining high-growth startup in the transformational AI, Decision Science, and Big Data domains.
  • The opportunity of getting on board to the phenomenal growth journey and helping the customers take the next big leap in digital transformation
  • The opportunity to work with a diverse, lively, and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
  • Flexible, remote working options available to foster productivity and work / life balance
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