Data Architect

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