We are looking for an experienced Data Engineering Architect with strong expertise in modern data engineering ecosystems, cloud-native data platforms, and large-scale streaming architectures.

The ideal candidate should possess deep hands-on experience in DBT (Data Build Tool), Apache Kafka, Apache Flink, and cloud-based data engineering solutions, along with strong team management and architecture capabilities.

This role requires strong leadership in designing scalable data pipelines, driving enterprise data transformation initiatives, and managing high-performing engineering teams.

Key Responsibilities :

Design, develop, and maintain scalable enterprise data solutions for :

1. Data Generation

2. Data Collection

3. Data Processing

4. Data Transformation

5. Data Migration

- Architect and implement modern cloud-native data platforms and streaming data pipelines.

- Lead end-to-end ETL/ELT process design and implementation across enterprise systems.

- Design robust and scalable real-time data processing solutions using :

1. Apache Kafka

2. Apache Flink

3. DBT (Data Build Tool) :

- Drive architecture decisions for cloud-based data engineering and analytics platforms.

- Ensure data quality, governance, reliability, and scalability across data ecosystems.

- Collaborate with multiple engineering and business teams to drive strategic technical decisions.

- Provide architecture-level solutions for enterprise-wide data engineering challenges.

- Lead and mentor engineering teams while driving technical excellence and delivery standards.

- Conduct knowledge-sharing sessions and technical training programs for teams.

- Develop and maintain architecture documentation, workflow diagrams, and engineering standards.

Drive best practices around :

1. Data Modeling

2. Streaming Architectures

3. Data Governance

4. Performance Optimization

5. Data Observability

Required Skills & Qualifications :

12+ years of experience in :

1. Data Engineering

2. Big Data Technologies

3. Data Platform Architecture

4. Enterprise Data Solutions

Strong expertise in :

1. DBT (Data Build Tool)

2. Apache Kafka

3. Apache Flink

4. Cloud Data Engineering

Proven experience designing and implementing :

1. Large-scale data pipelines

2. Real-time streaming architectures

3. ETL/ELT frameworks

4. Enterprise data integration solutions

Strong understanding of :

1. Data Quality Frameworks

2. Data Governance

3. Distributed Data Systems

4. Event-Driven Architectures

- Experience with cloud-based data platforms and architectures.

Strong stakeholder management and team leadership experience.

Excellent analytical, architectural, and problem-solving skills.

Preferred Skills :

Exposure to :

1. Snowflake

2. Databricks

3. Airflow

4. Spark

5. Lakehouse Architectures

- Experience with multi-cloud data ecosystems.

- Familiarity with CI/CD and DevOps practices for data platforms.

- Exposure to data observability and monitoring tools.

Ideal Candidate Profile :

- Strong architecture and systems-thinking mindset.

- Proven ability to lead enterprise-scale data transformation initiatives.

- Strong mentoring and technical leadership capabilities.

- Comfortable working across cross-functional global teams.

- Passionate about building scalable and reliable modern data platforms