Senior Software Engineer – Data Platform (Tech Lead)
- Source: Continental
- Continental
- On-site
- State of Karnataka, India
- Senior
Job Description
Your tasks
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Own and govern the data ingestion and integration architecture for the enterprise data platform.
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Define and evolve scalable, reusable, and production-grade data interfaces across all source systems and business domains.
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Provide technical leadership and design authority for all data platform ingestion and integration components, ensuring engineering quality, scalability, and reliability.
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Establish and enforce software engineering and architecture standards across data platform development (CI/CD, testing, observability, design patterns).
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Act as the primary escalation point and technical authority for complex ingestion, integration, and data platform challenges.
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Guide and support a distributed team of software engineers and data engineers in building production-grade ingestion services and platform components.
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Collaborate closely with platform architecture, cybersecurity, infrastructure, and business IT teams to ensure secure, compliant, and sustainable system design.
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Drive consistency and reuse across data platform patterns, frameworks, and engineering practices.
Main Tasks:
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Define and evolve ingestion frameworks for batch, streaming, API-based, and event-driven architectures.
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Establish and govern standards for structured and unstructured data (JSON, CSV, XML), including schema evolution and compatibility strategies.
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Design and review production-grade ingestion and integration patterns, ensuring fault tolerance, observability, and performance.
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Define and enforce API design standards, reliability patterns, and contract management.
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Lead design reviews for high-risk or complex ingestion pipelines, focusing on scalability, security, and maintainability.
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Support engineers in implementing robust error handling, retry mechanisms, orchestration, and monitoring.
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Collaborate with system owners to define interface specifications and integration strategies.
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Align ingestion architecture with overall platform design, governance, and business requirements.
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Enable ingestion patterns for advanced use cases, including data science, machine learning, and AI/LLM integrations.
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Maintain and evolve reusable libraries, templates, and framework components to accelerate development.
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Promote engineering best practices, including code reviews, testing strategies (unit, integration), and CI/CD pipelines.
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Define and maintain architecture blueprints, design guidelines, and engineering standards.
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Create reusable architecture patterns for lakehouse-based data platform.
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Provide guidance on scalability strategies, resource utilization, and performance optimization.
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Support cost transparency, usage optimization, and efficient resource consumption across the platform.
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Your profile
Qualifications
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Degree in Computer Science or a related field.
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6–10 years of experience in software engineering and data platform development, with a focus on large-scale, enterprise-grade systems.
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Proven track record of technical leadership and architectural ownership in distributed systems or data platforms.
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Strong hands-on experience with Scala / Java and Python in a production software engineering environment.
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Deep understanding of data integration patterns (APIs, CDC, streaming, event-driven architectures).
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Experience designing and governing reusable frameworks, platform components, and engineering standards.
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Strong knowledge of CI/CD, version control, automated testing, and observability practices.
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Experience with Microsoft Azure or other hyperscaler environments.
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Familiarity with lakehouse and data warehousing architectures; Databricks experience is a plus.
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Ability to guide and mentor engineers while collaborating across global teams and stakeholders.
NOT a fit if your experience is primarily:
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Notebook-based data processing (e.g. Jupyter, ad-hoc PySpark) without production deployment
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Dashboarding / analytics / BI tools
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SQL-only roles without software engineering experience
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Our offer
The well-being of our employees is important to us. That’s why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as:
- Training opportunities
- Mobile and flexible working models
- Sabbaticals
and much more…
Sounds interesting for you? Click here to find out more.
Diversity, Inclusion & Belonging are important to us and make our c…
Skills
- JSON
- xml-format
- Scala
- Java
- Python
- microsoft-azure
- azure-databricks
- databricks
- jupyter
- pyspark
- bing-ads
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