Job Description

Job Title: Data Architect / Lead Data Engineer / Engineering Manager - DataAbout the Role

We are looking for a highly skilled

Data Architect / Lead Data Engineer / Engineering Manager

with deep expertise in building and scaling data platforms. The ideal candidate has a strong foundation in

data engineering, backend development, leadership, and architecture

, and has successfully driven data strategy in high-growth product companies.

Key Responsibilities

Lead, mentor, and grow a team of 5+ Data Engineers, ensuring performance, learning, and career growth. Architect and implement

scalable, reliable, and cost-efficient data infrastructure

from the ground up. Define and execute the

data roadmap

in collaboration with product and engineering teams. Develop and optimize

data processing workflows

for high throughput and cost efficiency. Drive

data governance, quality, and compliance frameworks

(GDPR, SOC2, etc.). Ensure

data security

and manage large-scale, distributed data systems. Promote a culture of

technical excellence, innovation, and ownership

across the team. Translate business needs into technical strategy aligned with growth objectives.

Mandatory Requirements

Experience (1):

10+ years in Data Engineering roles, with

2+ years in a Leadership role

.

Experience (2):

7+ years of hands-on backend development using

Java (highly preferred)

or

Python / Node.js / GoLang

.

Experience (3):

Recent 4+ years in

high-growth Product Startups

, implementing data systems from early stages.

Experience (4):

Strong expertise in

big data tools & technologies

(HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, Presto, etc.).

Experience (5):

Proven expertise in

High-Level & Low-Level Design (HLD/LLD)

for scalable architectures.

Team Management:

Hands-on leadership of

5+ Data Engineers

.

Education:

Tier-1 Engineering Colleges (IITs preferred).

Company Background:

Experience in

B2B Product Companies

with high data traffic.

Technical Skills

Backend Development:

Java, Python, Node.js, GoLang (additional exposure to PHP, JavaScript, HTML, CSS is a plus).

Data Processing & Analytics:

SQL, Python, Scala.

Big Data & Distributed Systems:

Spark, Hadoop, Kafka, Airflow, Hive.

Cloud Platforms:

AWS / GCP / Azure with strong knowledge of their data services.

Data Warehousing:

Snowflake, Redshift, BigQuery.

Databases:

SQL + NoSQL (Redis, Cassandra, MongoDB, TiDB).

Architecture & Design:

HLD/LLD, design patterns, Spring Boot, Google Guice.

DevOps/Automation:

Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, ELK.

Preferred Qualifications

Experience with

Machine Learning infrastructure / MLOps

. Exposure to

real-time data processing

and event-driven systems. Strong interest in

data structures, algorithms, scalable architecture, and multicore programming

. Prior experience in

SaaS or high-growth tech companies

.

Preferred Companies / Background

MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle.

Job Types: Full-time, Permanent

Pay: ?7,000,000.00 - ?9,000,000.00 per year

Ability to commute/relocate:

Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):

Are you graduated from Tier-1 Engineering Colleges (IITs preferred) ? Are your from any of these mentioned companies ?MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle. ?
Experience:

Data Architect: 10 years (Preferred)
Work Location: In person