Data Architect

2 days ago

tamil nadu, 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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