• Create and maintain optimal data pipeline architecture • Assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. • Create data tools for team members to assist them in building and optimizing analytics production. • Work with data and analytics experts to strive for greater functionality in our data systems. • Other duties as required.

• Own the Data Platform • Design, build, and operate MDVIP’s data platform on Azure Databricks—ingestion, transformation, storage, and serving layers that power analytics, AI models, and operational reporting. • Build and maintain data pipelines across MDVIP’s ecosystem: Salesforce, SQL Server, Snowflake, third-party sources, and the new cloud-native payments platform. • Engineer for quality and trust—validation checks, anomaly detection, lineage tracking, and documentation that ensure every downstream consumer can rely on the data. • Write clean, version-controlled, production-grade code. • Think like a software engineer building a product, not a script runner maintaining jobs. • Go Deep Into the Business Domain • Partner directly with business stakeholders across physician growth, member services, finance, and operations to understand how data drives decisions—then build for those decisions, not for abstract requirements. • Act as a technical product owner for your domain areas: own the backlog, prioritize based on business impact, and ship iteratively without waiting for a PM to sequence your work. • Translate ambiguous business questions into data models, feature tables, and curated datasets that analysts and data scientists can build on immediately. • Close the loop—follow your data through to the dashboard, the model, or the operational workflow and validate that it’s actually driving the outcome. • Drive AI-First Engineering Practices • Use Claude Code and agentic development as your primary workflow—AI-driven pipeline generation, automated testing, rapid prototyping—to ship at a pace that would be impossible with traditional approaches. • Build data infrastructure that is AI-ready: well-documented, semantically clear, and structured so that AI tools and agents can reason over it effectively. • Scout, evaluate, and adopt emerging AI tools and platforms that make the data team faster—separating real value from hype with hands-on testing. Share what you learn. Document patterns, run demos, and help the broader team adopt AI-first workflows with confidence.

Company Summary First American (India) is a GCC (Global Capability Center) of the First American Financial Corporation (NYSE: FAF) family of companies. FAI is a proud member of the FORTUNE 500 companies and has been amongst the Fortune 100 Best Companies to Work For® list for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge processing operations to fulfill First American's business requirements. Our priorities are our employees, customers, and shareholders - in that order. First American (India) has been ranked amongst India's Best Companies To Work For™ 2023: Listed amongst the Top 100 by Great Place To Work® India, FAI is also certified Best Workplaces for Women and Workplace with Inclusive Practices. Software Services helps build First American's product suite that encompasses the best in class Title Insurance, Settlement and Mortgage solutions platforms. Leverages technology product stack across Microsoft platform predominantly to develop, enhance and maintain the best in class applications. The R & D division delivers solutions for the title insurance industry leveraging the best of NLP, AI and ML. Job Summary FAI is committed to create an environment that respects, supports and inspires all individuals. We do not discriminate on the basis of color, religion, sex, gender identity, sexual orientation and age. At FAI, we celebrate diversity and believe that an inclusive workforce benefits employees, the organization and our community. We are an Equal Opportunity Employer. For more information about our company and dedication to putting People First, check out https://firstam.wd1.myworkdayjobs.com/faicareers.

• Managing and supporting Azure-based data platforms including AKS, Data Factory, Data Lake, and Databricks environments for Data Hub Operations • Providing L2 support and serving as an escalation point for production issues, ensuring minimal disruption to business operations • Implementing and maintaining ETL/ELT processes, data orchestration, and automation using SQL and Python • Monitoring system performance and health using tools like Splunk and Datadog to proactively identify and resolve issues • Supporting streaming platforms such as Kafka and EventHub to ensure reliable data flow across systems • Collaborating with cross-functional teams to implement DevOps best practices using Azure DevOps and Git • Troubleshooting complex technical issues in NoSQL databases, particularly Apache Cassandra