• 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

Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, our all-in-one platform delivers precise answers about the performance and security of applications, the underlying infrastructure, and the experience of all users to enable organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That’s why many of the world’s largest organizations trust Dynatrace®️ to modernize and automate cloud operations, release better software faster, and deliver unrivalled digital experiences. Job Description:Our Business Intelligence R&D team in D1 is looking for an experienced for a Senior Data Engineer to design and build data pipelines that ingest, transform, and serve data from an observability platform into analytics, applications, and data science workflows. This role sits at the intersection of telemetry data, analytical platforms, and product data consumption. You will work closely with application teams, data scientists, and platform engineers to ensure data is reliable, well modeled, and ready to be used across multiple purposes, from near real time insights to exploratory analysis and reporting. - Use state-of-the-art technologies to acquire, ingest, store, and transform big datasets from multiple sources. - Understand business requirements and translate them into proper database modelling. - Maintain and improve solutions in production. - Manage scalability, error recovery, monitoring, alerting and security. - Develop functional and unit tests in the deployment pipeline. - Create and manage conceptual, logical, and physical data models. Your Qualifications: Minimum skillset: - At least five years of experience in Data Engineering (ideally applied to BI systems). - Strong proficiency in SQL and Python, with experience building and operating production data pipelines. - Proven ability to optimize data pipelines supporting real‑time or client‑facing applications (dashboards, reporting, or data‑driven features). - Be comfortable operating in crossfunctional environments and translating business or product needs into concrete data structures. Desriable skillset: - Ability to deal with ambiguity, prioritize effectively, and deliver results in a dynamic environment. - Degree in Engineering, Computer Science, Mathematics, or another quantitative field. - Hands‑on experience with modern analytics platforms, such as Snowflake (data modeling, transformations, performance tuning). - Experience supporting analytics, data science, or data driven applications through SQL, notebooks, or programmatic data access. Why you’ll love being a Dynatracer: - A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly - Working with the latest technologies and at the forefront of innovation in tech on scale, but also in other areas like marketing, design, or research - Working models that offer you the flexibility you need, ranging from full remote options to hybrid ones combining home and in-office work - A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries - An environment that fosters innovation enables creative collaboration and allows you to grow - A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals - A truly international mindset with Dynatracers from different countries and cultures all over the world and English as the corporate language that connects us all - A culture that is being shaped by our global team’s diverse personalities, expertise, and backgrounds