Lead Data Architect

2 weeks ago


Hyderabad, India Canterr, Inc. Full time

Job Title: Data Architect Experience: 8–12 years Location: Hyderabad (Hybrid Preferred) Notice Period: Immediate to 30 Days Company Type: Product-Based Technology Organization About the Role We are looking for a data architect to design and drive the next generation of our data platform that powers intelligent, data-driven product features and marketing decisions. As part of a product-based company, you will architect solutions that handle massive data scale, ensure low latency for real-time experiences, and enable advanced analytics for customer engagement and personalization. This role requires a hands-on architect who can balance system design, scalability, and data quality while collaborating closely with product, engineering, and analytics teams. Key Responsibilities - Architect and own the end-to-end data ecosystem supporting product features, analytics, and marketing automation. - Design and implement data models, pipelines, and streaming frameworks using Kinesis or Kafka for real-time event ingestion. - Lead data transformations and modeling with DBT and Snowflake, ensuring performance and scalability for analytical workloads. - Integrate MongoDB for unstructured and semi-structured data, optimizing query and indexing performance. - Partner with backend (Node.js) and frontend (React) teams to build reliable APIs and dashboards for internal and product data insights. - Collaborate with marketing tech and product growth teams to enable segmentation, attribution modeling, and user behavior analytics. - Define data governance, access control, lineage, and compliance policies across systems. - Continuously evaluate emerging technologies to evolve the data stack and improve system efficiency. Technical Skills - Databases: MongoDB, Snowflake (expert level) - Data Engineering & Modeling: DBT, SQL, ETL/ELT pipelines - Streaming Technologies: AWS Kinesis / Apache Kafka (real-time data flow) - Programming: Node.js (API/Data Services), React.js (visualization) - Cloud: AWS / GCP / Azure (preferably AWS ecosystem) - Marketing Technology (MarTech): Customer Data Platforms (CDP), Campaign Automation, AdTech / Analytics Integrations - Architecture: Microservices, Event-Driven Systems, RESTful APIs - Strong understanding of scalable data systems, data reliability, and product analytics instrumentation. Preferred Qualifications - Experience designing data architectures for SaaS or large-scale B2C/B2B products. - Proven background in building customer intelligence or marketing analytics platforms. - Experience with real-time recommendation systems, A/B testing platforms, or personalization engines. - Working knowledge of data observability tools (e.g., Monte Carlo, Great Expectations). - Familiarity with data privacy regulations (GDPR, CCPA) and secure data design principles. Education - Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent.



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