Data Architect

3 days ago

New Delhi, 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 neededGood 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 conceptsResponsibilities:- 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-makingQualifications:- 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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