Lead Data Architect

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.