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Continental

Worldwide tyre manufacturer and automotive components

Senior Software Engineer – Tech Lead - Data Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • A degree in Computer Science or a related field is required.
  • 6–10 years of experience in software engineering and data platform development, focused on large-scale, enterprise-grade systems.
  • Proven technical leadership and architectural ownership in distributed systems or data platforms.
  • Strong hands-on experience with Scala, Java, and Python in a production software engineering environment.
  • Deep understanding of data integration patterns, including APIs, change data capture, streaming, and event-driven architectures.
  • Experience designing and governing reusable frameworks, platform components, and engineering standards.
  • Strong knowledge of continuous integration and continuous delivery, version control, automated testing, and observability practices.
  • Experience with Microsoft Azure or another hyperscaler environment.
  • Familiarity with lakehouse and data warehousing architectures; Databricks experience is a plus.
  • Ability to guide and mentor engineers while collaborating across global teams and stakeholders.

Responsibilities

  • Own and govern data ingestion and integration architecture for the enterprise data platform.
  • Define and evolve scalable, reusable, production-grade data interfaces across source systems and business domains.
  • Provide technical leadership and design authority for data platform ingestion and integration components, ensuring engineering quality, scalability, and reliability.
  • Establish and enforce software engineering and architecture standards across data platform development, including continuous integration and continuous delivery, testing, observability, and design patterns.
  • Act as the primary escalation point and technical authority for complex ingestion, integration, and data platform challenges.
  • Guide and support a distributed team of software engineers and data engineers building production-grade ingestion services and platform components.
  • Collaborate with platform architecture, cybersecurity, infrastructure, and business IT teams to ensure secure, compliant, and sustainable system design.
  • Drive consistency and reuse across data platform patterns, frameworks, and engineering practices.
  • Define and evolve ingestion frameworks for batch, streaming, API-based, and event-driven architectures.
  • Establish and govern standards for structured and unstructured data formats, including JSON, CSV, and XML, as well as schema evolution and compatibility strategies.
  • Design and review production-grade ingestion and integration patterns, ensuring fault tolerance, observability, and performance.
  • Define and enforce API design standards, reliability patterns, and contract management.
  • Lead design reviews for high-risk or complex ingestion pipelines, focusing on scalability, security, and maintainability.
  • Support engineers in implementing robust error handling, retry mechanisms, orchestration, and monitoring.
  • Collaborate with system owners to define interface specifications and integration strategies.
  • Align ingestion architecture with overall platform design, governance, and business requirements.
  • Enable ingestion patterns for advanced use cases, including data science, machine learning, and AI/LLM integrations.
  • Maintain and evolve reusable libraries, templates, and framework components to accelerate development.
  • Promote engineering best practices, including code reviews, unit and integration testing strategies, and continuous integration and continuous delivery pipelines.
  • Define and maintain architecture blueprints, design guidelines, and engineering standards.
  • Create reusable architecture patterns for a lakehouse-based data platform.
  • Provide guidance on scalability strategies, resource utilization, and performance optimization.
  • Support cost transparency, usage optimization, and efficient resource consumption across the platform.

Desired Qualifications

  • Databricks experience is a plus.

About the Company

Continental

Worldwide tyre manufacturer and automotive components

Continental designs and manufactures tyres for cars, trucks, buses, bicycles and motorcycles, selling to vehicle manufacturers and in the aftermarket. Through ContiTech, it also produces rubber and plastic technology parts such as hoses, belts, seals and surface materials for automotive and industrial use. Its products are developed and produced at sites worldwide, with tyres tailored for different vehicles and conditions and ContiTech components customized for equipment. The company differentiates itself by offering a broad, integrated mobility portfolio and global manufacturing and service capabilities, aiming to provide reliable mobility through tyres and components worldwide.

Company size
10,001+
Company stage
IPO
Headquarters
Hanover, Germany
Founded
1871

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