Data Architect – B2B SaaS

12 years

83 - 110 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Data Architect – B2B SaaS

Location:

Delhi, India

Compensation:

₹83 LPA – ₹110 LPA (Based on Experience)

Company Type:

Well-funded B2B SaaS Product Organization

Employment Type:

Full-time | On-site

About The Role

We are looking for an accomplished

Data Architect

to lead and scale our data infrastructure, empowering high-performance analytics and product innovation across a fast-growing SaaS environment. The ideal candidate will bring deep technical expertise in

data engineering, backend architecture, and cloud platforms

, along with proven experience in

leading data engineering teams

within high-growth product companies.

Key Responsibilities

  • Lead and mentor a team of Data Engineers, fostering technical excellence and growth.
  • Architect and optimize scalable, reliable, and cost-efficient data infrastructure.
  • Design and enforce data governance, security, and compliance best practices (GDPR, SOC2, etc.).
  • Collaborate cross-functionally to define and execute a robust data roadmap.
  • Build and maintain high-performance ETL and data processing pipelines using Big Data frameworks.
  • Partner with Product and Engineering teams to enable real-time analytics and insights.
  • Drive technical innovation and continuous improvement in data architecture and systems.

Ideal Candidate Profile

  • 10–12+ years of experience in software/data engineering, with 3+ years in leadership roles.
  • Proven experience in large-scale, data-heavy product companies.
  • Hands-on development experience in Java (preferred), Python, Node.JS, or GoLang.
  • Expertise in big data ecosystems – Spark, Hadoop, Kafka, Hive, Airflow, Presto, HDFS, YARN, etc.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, Redshift, BigQuery).
  • Proficient in HLD/LLD design, scalable system architecture, and design patterns (Spring Boot / Google Guice).
  • Strong grasp of SQL, Python, Scala, and distributed data systems.
  • Experience in NoSQL databases (Redis, Cassandra, MongoDB, TiDB).
  • Familiarity with DevOps and automation tools (Docker, Kubernetes, Jenkins, Grafana, Ansible).
  • Exceptional communication, leadership, and stakeholder management skills.

Preferred Qualifications

  • Experience in machine learning infrastructure or MLOps.
  • Exposure to real-time data analytics and streaming systems.
  • Tier-1 educational background (IITs preferred).
  • Prior experience building data systems from 0 → 1 in startups or high-scale SaaS environments.

Preferred Companies

Hevo Data | Mixpanel | Segment | MoEngage | WebEngage | Netcore Cloud | RudderStack | CleverTap | Actyv.ai | Zarget | Vizury#DataArchitect #DataEngineering #BigData #SaaSJobs #TechLeadership #CloudArchitecture #AWS #GCP #Azure #Spark #Kafka #Hadoop #DataGovernance #Snowflake #Redshift #BigQuery #EngineeringManager #JavaDeveloper #PythonDeveloper #NodeJS #TechJobsIndia #DelhiJobs #NowHiring #LeadDataEngineer #ProductCompany

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