Senior Software Engineer – Data Platform (Tech Lead)
Continental · Bengaluru, KA, in ·
- Seniority
- Lead
- Employment
- Contract
- Category
- Data engineering
- Experience
- 6+ years
Continental · Bengaluru, KA, in ·
▪ Own and govern the data ingestion and integration architecture for the enterprise data platform.
▪ Define and evolve scalable, reusable, and production-grade data interfaces across all source systems and business domains.
▪ Provide technical leadership and design authority for all data platform ingestion and integration components, ensuring engineering quality, scalability, and reliability.
▪ Establish and enforce software engineering and architecture standards across data platform development (CI/CD, testing, observability, 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 in building production-grade ingestion services and platform components.
▪ Collaborate closely 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.
Main Tasks:
▪ Define and evolve ingestion frameworks for batch, streaming, API-based, and event-driven architectures.
▪ Establish and govern standards for structured and unstructured data (JSON, CSV, XML), including 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, testing strategies (unit, integration), and CI/CD pipelines.
▪ Define and maintain architecture blueprints, design guidelines, and engineering standards.
▪ Create reusable architecture patterns for 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.
Qualifications
▪ Degree in Computer Science or a related field.
▪ 6–10 years of experience in software engineering and data platform development, with a focus on large-scale, enterprise-grade systems.
▪ Proven track record of 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 (APIs, CDC, streaming, event-driven architectures).
▪ Experience designing and governing reusable frameworks, platform components, and engineering standards.
▪ Strong knowledge of CI/CD, version control, automated testing, and observability practices.
▪ Experience with Microsoft Azure or other hyperscaler environments.
▪ 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.
NOT a fit if your experience is primarily:
▪ Notebook-based data processing (e.g. Jupyter, ad-hoc PySpark) without production deployment
▪ Dashboarding / analytics / BI tools
▪ SQL-only roles without software engineering experience
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