Quantiphi - Associate Data Architect - ETL/Python

Description : 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.Company Highlights : - 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).Job Description : Role : Associate Architect Data (GCP). Experience Level : 6 to 9 years. Work location : Mumbai | Bangalore | Trivandrum.What youll 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. (ref:hirist.tech)