DSS Manager

Work Location: Chennai (Work From Office)

Department Overview

The Decision Support Systems (DSS) function enables data-driven decision-making across Matrimony.com by delivering high-quality data pipelines, analytical platforms, and intelligent planning tools. The team partners with business leaders, product teams, and product engineering teams to convert raw data into actionable insights that power strategic, operational, and commercial decisions across the organization.

Role Overview:

We are seeking a Data Engineering Lead to drive the development and optimization of our enterprise data pipelines, analytical data models, and decision-support infrastructure at Matrimony.com. In this role, you will design and build scalable ETL/ELT workflows, manage data lake and warehouse environments, and enable high-quality data availability for analytics, BI, and machine-learning use cases across the organization.

You will lead a small team of data engineers, collaborate closely with business stakeholders, BI analysts, and data science teams, and ensure strong engineering discipline in data modelling, orchestration, performance tuning, and governance.

Key Responsibilities:

• Design and build scalable ETL/ELT pipelines using Python & Airflow/Prefect
• Develop and optimize data lake, data warehouse, and data mart models
• Build star/snowflake schemas, OLAP cubes, and analytical structures
• Ensure data quality, validation, lineage, and documentation across pipelines
• Partner with analytics & data science teams to enable ML-ready datasets
• Monitor pipeline performance and drive improvements in reliability & cost
• Guide and mentor a small team (23 engineers)
• Collaborate with cross-functional partners to understand data needs and define solutions
• Ensure adherence to data governance, access control, and security standards
• Support BI teams with semantic layers, curated data sets, and performance tuning

Skill and Competencies:

• 6 to 10 years of experience in Data Engineering
• Strong Python + SQL + Airflow/Prefect
• Experience with lake + warehouse + mart architectures
• Hands-on dimensional modeling & OLAP systems
• Spark/Kafka experience is a strong plus
• Understanding of ML data pipelines & feature engineering workflows
• Experience mentoring junior engineers and code reviewing role & responsibilities