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Canterr, Inc.
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Lead Data Architect

Lead Data Architect

Canterr, Inc.

12 years

0 Lacs

hyderabad telangana india

Posted:1 week ago| Platform:

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Skills Required

data technology design drive marketing latency analytics engagement scalability engineering query indexing segmentation compliance stack mongodb sql etl aws apache kafka node.js api react.js gcp azure cdp automation microservices saas testing personalization

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Experience:

Location:

Notice Period:

Company Type:

About the Role

data architect

product-based company

system design, scalability, and data quality while

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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