Software Engineer, Data Foundation

Team: IT

Location: India

Commitment: Full-time

Workplace Type: remote

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.