Software Engineer, Data Foundation

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer, Data Foundation based in India. This role offers an opportunity to build the core data infrastructure that powers advanced analytics and AI-driven solutions at enterprise scale. The Software Engineer, Data Foundation will design and develop reliable data systems, from ingestion pipelines to semantic data layers, enabling teams to make better decisions through trusted information. The position combines software engineering, data architecture, and modern AI technologies to create scalable and self-service data platforms. Working with business teams, product leaders, and technical stakeholders, the successful candidate will transform complex requirements into robust technical solutions. This is a high-impact opportunity for an experienced engineer passionate about data quality, system design, and building the foundations of intelligent applications.
• Accountabilities: The Software Engineer, Data Foundation will be responsible for designing, developing, and maintaining scalable data platforms that enable reliable analytics, AI applications, and business decision-making. Design and build scalable, fault-tolerant data pipelines that transform raw data sources into trusted, well-documented datasets. Develop and maintain batch and streaming data architectures to support reliable data processing at enterprise scale. Own data quality, observability, and reliability by implementing monitoring, alerting, testing, and documentation practices across pipelines and data models. Build and evolve semantic and metric layers that provide clear context and enable accurate data exploration by analysts and AI systems. Architect well-structured datasets using advanced data modeling approaches, including dimensional modeling, Data Vault, and One Big Table principles. Define effective data structures, including grain selection, schema design, and key strategies to support scalable platforms. Develop enterprise data solutions using modern engineering practices and Generative AI frameworks to improve development efficiency and intelligent analytics capabilities. Collaborate with business teams, product leaders, and stakeholders to translate complex requirements into practical technical solutions. Contribute to continuous improvements in data platform architecture, performance, scalability, and long-term technical health. Requirements: The ideal candidate will have strong software engineering experience combined with deep expertise in data architecture, modeling, and scalable platform development. 6+ years of software engineering experience or equivalent practical experience, with significant exposure to data architecture or system design. Proven experience designing complex data models, including schema design, grain definition, key strategy, and large-scale data platform development. Strong programming skills in languages such as Python, Java, or Scala, with solid software engineering fundamentals. Deep knowledge of data modeling methodologies, including dimensional modeling, Data Vault, or One Big Table approaches. Experience building and managing batch and streaming data pipelines in complex environments. Experience designing scalable data solutions for multi-tenant platforms and enterprise systems. Ability to collaborate directly with business teams, product stakeholders, and external partners to solve ambiguous technical challenges. Strong understanding of data quality, documentation, testing, monitoring, and reliability practices. Familiarity with Generative AI development tools and frameworks is a plus. Strong analytical thinking, problem-solving skills, and ability to balance technical excellence with business priorities. Benefits: The role offers a flexible remote work environment and the opportunity to contribute to impactful technology initiatives within a collaborative engineering culture. Fully remote work opportunity for India-based candidates. Opportunity to build foundational data systems supporting analytics and AI innovation. Exposure to modern data engineering practices, scalable architectures, and Generative AI technologies. Collaborative environment with experienced engineers, product teams, and business stakeholders. Opportunities for professional growth and advancement within a technology-focused organization. Benefits package designed to support physical, mental, emotional, and financial well-being. Supportive workplace culture focused on inclusion, collaboration, and employee development. Work-life balance initiatives and programs supporting personal and professional well-being.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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