Job Description

Job Title: Principal Architect – Data Engineering

Company: Tavant

Years of Experience: 12 – 15 Years

Location: Bengaluru

Role Type: Full-Time

Salary: As per industry standards

Role Overview

We are looking for a highly experienced Principal Architect – Data Engineering with a strong background in data architecture, data engineering, and microservices-based platforms. The ideal candidate will play a key role in designing and evolving enterprise-scale data platforms that support complex business requirements.

This role requires a balance of strategic architectural thinking, deep technical expertise, and hands-on leadership, working closely with engineering, product, and analytics teams to build scalable and high-performance data solutions.

Key Responsibilities:

Data Engineering Leadership

• Architect and guide the implementation of robust data pipelines (batch and streaming) for large-scale datasets.
• Review and influence data engineering designs to ensure reliability, scalability, and maintainability.
• Collaborate with engineering teams to align data solutions with microservices and event-driven architectures.

Application & Platform Integration

• Design integrations between Java-based microservices and enterprise data platforms.
• Ensure data services are exposed through well-defined APIs and data contracts.
• Support real-time and near-real-time data processing patterns.

Governance, Security & Quality

• Define and enforce data governance, metadata management, and data lineage practices.
• Ensure data security, privacy, and regulatory compliance standards are met.
• Drive data quality frameworks and observability across data platforms.

Leadership & Collaboration

• Mentor and guide senior data engineers and architects.
• Act as a technical advisor to business and technology stakeholders.
• Lead architecture reviews, technical discussions, and decision-making for complex initiatives.

Skills and Qualifications

Core Experience

• 12–15 years of IT experience with a strong focus on Data Architecture and Data Engineering.
• Proven experience designing and implementing enterprise-scale data platforms.
• Hands-on experience with Java and microservices-based architecture.

Technical Expertise

• Programming: Scala, Java, SQL, Python
• Big Data: Spark, PySpark, Spark SQL
• Streaming: Kafka, Spark Structured Streaming
• Microservices: REST APIs, event-driven architectures
• Data Platforms: Snowflake, BigQuery, Redshift, Azure Synapse (or equivalent)
• Cloud: AWS / Azure / GCP (GCP preferred)