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Associate Architect: Data
Associate Architect: DataQuantiphi • India
Associate Architect : Data

Associate Architect : Data

Quantiphi • India
5 hours ago
Job description

Company Profile

Quantiphi is an award-winning AI-first digital transformation engineering company driven by the desire to solve transformational problems at the heart of the business. We are passionate about our customers and obsessed with problem-solving. Quantiphi solves our clients’ toughest and most 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.

Our motto : “Solving What Matters.”

Company Highlights

  • 2.5x year-over-year growth since inception in 2013
  • Google Cloud “Machine Learning Partner of the Year” (2017 & 2018)
  • Google Cloud “Social Impact Partner of the Year” (2019)
  • Google Cloud “Data & Analytics Specialization Partner of the Year” and “US Education – Public Sector Partner of the Year” (2020)

For more details, visit : our Website or our LinkedIn Page

Job Description :

Role : Associate Architect – Data (GCP)

Experience Level : 6 to 9 years

Work location : Mumbai | Bangalore | Trivandrum

What you’ll do :

As an Associate Technical Architect – Data (GCP), you will lead the architecture, design, and implementation of advanced data engineering and analytics solutions on Google Cloud Platform (GCP). You will work closely with cross-functional teams to build scalable, secure, and high-performance data systems that power analytics, AI, and business intelligence across global enterprises.

Key Responsibilities :

  • Lead multiple data engineering engagements on GCP, including data lakes, data warehouses, data migration, and BI solutions.
  • Architect, design, and implement end-to-end data pipelines using GCP-native tools such as Dataflow, Dataproc, BigQuery, Pub / Sub, Composer, and Cloud Storage.
  • Collaborate with stakeholders to gather and translate business requirements into technical architectures and non-functional specifications (availability, scalability, performance, and security).
  • Design and manage data lake and data warehouse solutions leveraging BigQuery, Cloud Storage, and Cloud SQL.
  • Build and optimize real-time and batch data processing systems for high-volume workloads.
  • Implement data validation, monitoring, and governance processes to ensure data quality and reliability.
  • Drive modernization and migration of on-premise data systems to GCP.
  • Partner with pre-sales teams to contribute to RFPs, RFIs, and solution design for GCP-based data projects.
  • Mentor and guide junior engineers, fostering technical excellence and innovation.
  • Contribute to internal assets, accelerators, and reusable GCP components to improve project delivery speed and consistency.
  • Must have skills :

  • 5+ years of experience in architecting and delivering data engineering solutions on Google
  • Cloud Platform (GCP).

  • Strong hands-on expertise with GCP services including : BigQuery, Dataflow, Dataproc, Pub / Sub,
  • Composer (Airflow), Cloud Storage, Cloud SQL, Spanner, Bigtable.

  • Proficiency in ETL / ELT design and development using Apache Spark, PySpark, SQL, and Dataflow.
  • Experience designing data pipelines for structured and unstructured data sources.
  • Solid understanding of data modeling, data partitioning, and performance optimization in
  • BigQuery.

  • Experience with data integration tools like Cloud Data Fusion, and orchestration using Composer
  • or Airflow.

  • Familiarity with NoSQL databases such as Firestore or Bigtable.
  • Good understanding of data security, IAM, VPC, and encryption policies on GCP.
  • Exposure to machine learning workflows using TensorFlow, Vertex AI, or AI Platform is a plus.
  • Strong understanding of modern cloud architectures (IaaS, PaaS, containers, and microservices).
  • Working knowledge of BI and reporting tools such as Looker, Data Studio, or Tableau.
  • Preferred Qualifications

  • Google Cloud Certified : Professional Data Engineer or Cloud Architect.
  • Experience leading large-scale data migration or modernization projects on GCP.
  • Experience working in agile, fast-paced environments with distributed teams.
  • Why Join Quantiphi?

  • Be part of an award-winning Google Cloud partner recognized for innovation and impact.
  • Work on cutting-edge GCP-based data engineering and AI projects.
  • Collaborate with a global team of data scientists, engineers, and AI experts.
  • Access continuous learning, certifications, and leadership development opportunities.
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    Data Architect • India

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