Data Architect

4 weeks ago

Chennai, India Montra Electric Full time

About the Role:

We are seeking a seasoned Data Engineering Architect with 15+ years of experience designing and scaling enterprise-grade data platforms to lead the architecture of our Connected Electric Vehicle (EV) Platform.

This role requires deep expertise in cloud-native (AWS & GCP) data ecosystems, real-time streaming infrastructure, and architecting solutions for high-velocity, high-volume telemetry generated by Electric Vehicle.

Skill Sets Required:

- 15+ years of experience in Data Architecture and Engineering
- Deep understanding of structured and unstructured data ecosystems
- Hands-on experience with ETL, ELT, stream processing, querying, and data modeling
- Proficiency in tools and languages such as Java, Spark, Kafka, Airflow, and Python
- Proficiency in SQL and MongoDB
- Proven experience in building and maintaining data warehouses and data lakes
- Experience in implementing data quality standards and performing exploratory data analysis (EDA)
- Experience with any public cloud platform: GCP, AWS, or Azure
- Strong knowledge of data governance, privacy, and compliance standards
- Expertise in designing high-performance and cost-optimized data engineering pipelines leveraging Medallion Architecture
- A strategic mindset with the ability to execute hands-on when needed

Good to Have:

- Knowledge of GraphQL/Graph databases
- Exposure to connected vehicle platforms
- Experience in the EV or automotive domain
- Knowledge of API development
- Exposure to data mesh and data fabric concepts

Responsibilities:

- Design scalable, secure, and high-performance data architectures across cloud and on-premise environments for our connected vehicle platform
- Lead the end-to-end architecture of data pipelines and real-time streaming solutions using Kafka, Kinesis, Google Pub/Sub, Apache Flink, or Dataflow.
- Establish best practices for tiered storage across hot, warm, and cold data using BigQuery, Redshift, S3/GCS, and Delta Lake.
- Collaborate with cross-functional teams and business stakeholders to ensure data solutions meet analytical and operational requirements
- Enable AI/ML readiness through clean, governed, and performant data pipelines for predictive models.
- Evaluate and recommend tools and technologies to improve the data platform by conducting proof of concepts (PoCs)
- Ensure compliance with data security, privacy, and regulatory standards
- Mentor and guide data engineers and solution architects
- Establish best practices and coding standards for data engineering teams
- Stay current with emerging technologies and drive adoption of modern data practices
- Lead and contribute to technical discussions and decision-making

Qualifications:

- Bachelor’s or Master’s degree in any discipline
- 15+ years of industry experience, with a minimum of 10 years in data engineering

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