Senior Software Engineer – Data Platform (Tech Lead)

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Skills you'll use

What you'll do

• ▪ 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.

Who can apply

• ▪ 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.

About Continental

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