This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Infosys is looking for Palantir Technology with deep expertise in Palantir Data Foundry, Ontology and Python, TypeScript and PySpark knowledge. Qualifications - Candidate must be located anywhere in the US. - Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. - At least 7 years of Information Technology experience. - Expertise in Palantir Data Foundry, Ontology and Python knowledge. - Proficient with Transform API within Foundry. - Proficient with batch, real time use case realization in Foundry using Pipeline builder. - Proficient with setting up source syncs, health checks and data expectations. - Must have Implementation experience with objects, links, actions, and functions in the Ontology. - Must have Ability to structure and relate data using the Object Data Layer. - Hands on Knowledge on Foundry’s Ontology and data structures. - Build powerful applications by weaving together objects, links, and actions. - Understanding of layout principles and user experience to ensure applications are intuitive and visually appealing. - Ability to design dynamic and interactive workflows, leveraging Workshop’s events system and layouts. - Implementing complex logic using custom Functions (e.g., Python, TypeScript) within Workshop widgets. TypeScript knowledge must require. - Recommend solutions to improve new and existing application solutions. - Offer support by responding to system problems in a timely manner. - Guidance to developers in preparing functional/technical specs to define reporting requirement and ETL process. Requirements - Utilities domain experience (Transmission & Distribution). - Possessing Palantir Foundry Data Engineer Certification is a plus. - Application development on the Foundry. - Experience working in Agile environments. - Experience in project development lifecycle activities and maintenance/support. - Ability to translate requirements into technical solutions meeting quality standards. - Strong communication, problem-solving and analytical abilities. - Experience in global delivery environments. - Commitment to staying current with industry trends in modern data warehousing. - The job entails sitting as well as working at a computer for extended periods of time. - Should be able to communicate by telephone, email or face to face. Benefits - Medical/Dental/Vision/Life Insurance. - Long-term/Short-term Disability. - Health and Dependent Care Reimbursement Accounts. - Insurance (Accident, Critical Illness, Hospital Indemnity, Legal). - 401(k) plan and contributions dependent on salary level. - Paid holidays plus Paid Time Off. Company Description Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.

• Work with team members and architects from other teams to ensure a cohesive Data Platform architecture. • Ensure the Data Platform (Data Lakehouse) architecture is scalable and robust. • Design the taxonomy and structure of the Data Catalog so data is easily discoverable and accessible. • Establish standards (file formats, compression, partitioning strategies) to maximize query efficiency. • Lead the selection of new tools, architectural changes, and features, communicating trade-offs between cost, complexity, and performance to the team. • Design security architecture using AWS Lake Formation to ensure data isolation and auditing. • Implement and manage the data catalog with governance and access controls.

• Define the team’s technical priorities, translating the Head of Data Engineering’s business vision into actionable technical requirements; • Mentorship and Code Review: Raise the team’s technical standard through rigorous code reviews and continuous mentoring of data engineers; • Governance and Standards: Establish Data Quality standards, pipeline observability, and data lineage documentation; • Infrastructure Decisions: Lead the Infrastructure-as-Code strategy (Terraform), ensuring consistent development, staging, and production environments; • Data Culture: Promote a data-driven culture and platform adoption by eliminating manual processes and silos;

Principal Data Engineer EmpiRx Health is the leading clinically-driven pharmacy benefits management company. As the pioneer in value-based pharmacy care, EmpiRx Health puts its customers and members first by enabling them to take control of their pharmacy benefits, healthcare outcomes, and financial results. We place more emphasis on member care than any other PBM by focusing on health outcomes first. Our pharmacists and clinicians are at the center of everything we do―and our population health solution delivers tailored strategies for our clients. Leveraging our newly launched, AI-powered pharmacy care platform, Clinically™, EmpiRx Health’s pharmacists and client experience teams provide the highest quality pharmacy care to our clients and their members. This enables benefits plan sponsors to keep their members healthy, happy, and productive, while substantially reducing prescription drug spending, which has been on an explosive growth trajectory in recent years. EmpiRx Health is in unprecedented growth The Principal Data Engineer is a senior, hands-on technical leader responsible for designing, building, and evolving EmpiRx Health’s finance-critical data ecosystem. This role works cross-functionally with engineering, finance, product, and business leaders while remaining deeply embedded within a small, agile delivery team supporting our Finance organization. The role plays a key part in improving team agility, delivery discipline, and overall execution effectiveness. This position balances direct technical ownership of mission-critical financial data pipelines while collaborating with cross-functional leadership to define data architecture, establish engineering standards, and drive engineering excellence, ensuring data solutions are accurate, scalable, reliable, and tightly aligned with business outcomes. Key Responsibilities: Rec Technical Leadership & Architecture - Own the technical direction of finance-centric data engineering solutions, with deep responsibility for Databricks and Oracle based integrations. - Lead the design and evolution of scalable ELT/ETL pipelines and data platforms using Databricks and Python. - Help define and uphold data engineering standards, patterns, and best practices across the organization. - Make architectural decisions that balance long-term platform health with practical delivery constraints. - Advance organizational data maturity through improvements in reliability, observability, and platform discipline. Delivery & Execution - Operate as a senior individual contributor, leading by example through daily hands-on design, implementation, problem solving, and technical decision-making. - Actively contributes to improving team agility, delivery flow, and execution discipline by strengthening engineering practices, technical hygiene, and collaboration. - Partner with Product Owners and Scrum Masters to identify delivery impediments, reduce friction, and continuously improve how the team plans, executes, and ships work. - Own the end-to-end lifecycle of finance-critical data pipelines, including ingestion, transformation, validation, delivery, and operational support. - Design and build robust, scalable integrations between Databricks, Oracle, and downstream platforms supporting finance, operations, and client deliverables. - Ensure the production of high-quality, compliant data extracts for internal teams, clients, vendors, and partners. - Continuously monitor data reliability, performance, and quality; proactively identify risks and drive corrective actions. - Serve as a primary technical partner to Finance and business stakeholders, translating complex requirements into effective, maintainable solutions. - Contribute directly to sprint execution within a small agile delivery team while also shaping broader data engineering practices across the organization. Collaboration & Influence - Work closely with Finance leadership and business partners to understand requirements, translate needs into technical solutions, and drive adoption. - Collaborate with data engineering leadership, application engineering, analytics, and product teams to ensure data solutions are aligned with platform strategy and business goals. - Mentor and guide engineers through technical leadership, knowledge sharing, and architectural coaching (without direct people management responsibility). - Contribute to cross-team alignment on data modeling, integration patterns, and platform evolution. Required Qualifications & Experience: - Bachelor’s degree in computer science or related field. - 10+ years of professional experience in data engineering or related roles. - 3+ years of hands-on experience building solutions in Databricks using Python and notebooks. - Strong experience integrating with Oracle and other RDBMS platforms. - Proven ownership of complex data pipelines and business-critical integrations. - Demonstrated ability to operate as a senior individual contributor with broad organizational influence. - Excellent communication, collaboration, and stakeholder-engagement skills. - Strong analytical, problem-solving, and execution discipline. Preferred Qualifications: - Experience supporting financial systems and enterprise finance organizations. - Healthcare or PBM domain experience. - Expertise with Delta Lake, data modeling, data quality frameworks, and data observability patterns Work Environment: Remote Benefits And Perks Subject to program eligibility, this position qualifies for a robust suite of benefits including Paid Time Off, a 401(k) program, Health Insurance including Dental & Vision coverage, Student Loan Reimbursement, Health Savings Account, and an Employee Assistance Program. EmpiRx Health is an Equal Opportunity Employer At EmpiRx Health, we wholeheartedly embrace the power of diversity and the magic of inclusion. The kaleidoscope of unique perspectives, backgrounds, and talents fuels our innovation and sets us apart. We're on a mission to build a team as diverse as the world we serve, where everyone is welcome and celebrated. We're not just breaking down barriers; we're actively erasing them to create an environment where opportunity knows no bounds. In unity, we find our strength and invite individuals from all walks of life to join us in our exhilarating journey to shape a brighter, more inclusive future together. Note: This job description is a general outline of responsibilities and qualifications for the role. Additional duties may be assigned, and the position may evolve to meet the organization's needs