
Software Architect – Data Platform
Posted Sep 16

Posted Sep 16
This is a fully remote position, open to applicants in India.
• Define and lead the implementation of a scalable, cloud-native target architecture for the comprehensive software platform.
• Establish architectural frameworks for scalable automated data ingestion processes.
• Deliver practical proof-of-concept projects alongside engineering teams utilizing SQL, PySpark, Serverless Python, or other relevant programming languages.
• Foster consistency in architecture, harmonize integrations, promote component reuse, and minimize technical debt.
• Serve as a subject matter expert in the design and execution of data governance practices.
• Set and uphold security standards for data platforms and infrastructure.
• Collaborate with Product Management to establish an application analytics strategy and comprehend related business domains.
• Assess and integrate new technologies, open-source solutions, and third-party applications into existing systems.
• Ensure high system availability, low latency, and reduce service outages to a minimum.
• Advocate for architectural best practices, educate engineering teams, and facilitate continuous improvement and developer empowerment.
• Contribute to the development of AI-driven agentic capabilities for the data platform, including data transformation and analytics.
• Report to the Architecture team while working closely with Product Management, Cloud Operations, Business Operations, and cross-functional engineering teams.
• Mentor engineering teams and act as a reliable technical advocate.
• Extensive background in data architecture with experience in making architectural and design choices in cloud data platforms within software-centric organizations.
• Significant expertise in data modeling and governance.
• Strong experience with Databricks or familiarity with another Spark-based lakehouse platform.
• Proficient in utilizing the modern data stack.
• Expertise in developing solutions using SQL and PySpark.
• Experience leveraging agentic AI in the software development lifecycle for enhanced efficiency.
• Familiarity with using GenAI for data workloads and analysis.
• Capability to design data schemas tailored for analytics and reporting needs.
• Proficient in structuring and processing both qualitative and quantitative data to assess total cost of ownership and make informed technology trade-offs.
• Strong communication skills with the ability to convey complex technical concepts and secure alignment across cross-functional teams.
• Competence in addressing complex technical challenges in unstructured or ambiguous settings.
• Experience in one or more areas such as security and access control, cloud operations and infrastructure, or third-party integrations.
• At least 15 years of experience in the software industry, including a minimum of 3 years in an architecture role.
• Preferred: hands-on experience in architecting solutions on AWS, GCP, or Azure.
• Preferred: experience in developing and managing serverless workloads on public cloud platforms.
• Preferred: knowledge of infrastructure security protocols, data privacy regulations, and access control frameworks.
• Preferred: experience in developer empowerment, engineering mentorship, and CI/CD best practices.
• Competitive compensation package.
• Annual bonus for non-sales positions, contingent on individual and company performance.
• Generous paid parental leave policy.
• Flexible time-off options.
• Available spending accounts.
• Comprehensive medical insurance coverage.
• Dental insurance plans.
• Vision insurance options.
• Sabbatical opportunity after 5 years of service.
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