• Manage and support data pipelines, ETL processes, and analytics platforms • Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting • Implement monitoring and observability using Datadog, Grafana, and Prometheus • Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines • Apply infrastructure-as-code principles for provisioning and automation of data environments • Support incident and request management via ServiceNow • Work closely with security and compliance teams to maintain data governance standards • Participate in Agile ceremonies within Scrum/Kanban models

• Define and own the architecture of cloud-based data platforms across client engagements. • Lead large-scale ETL and data platform implementations using tools such as Databricks, Snowflake, and equivalent technologies. • Establish reference architectures, delivery standards, and engineering best practices. • Oversee ETL orchestration strategies using tools such as Data Factory, Airflow, or enterprise ETL platforms. • Estimate, plan, and govern delivery across multiple projects and workstreams. • Partner with client stakeholders to align data platform design with business objectives. • Mentor, coach, and develop data engineers and technical leads. • Ensure platforms meet expectations for scalability, reliability, security, and cost efficiency. • Support pre-sales activities, including solution design and technical estimates.

• Unlock business-critical reporting through the ingestion of disparate data sources into our centralized data platform, including Marketing data from Google Ads, Google Analytics, Google Tag Manager, LinkedIn, Meta and other sources • Reveal key insights through proper data modeling, aggregation and analysis in our data warehouse to enable reporting on ad campaign performance, attribution and user journey analysis • Own and maintain data pipelines that support the essential day-to-day operation of Crowd Street’s business • Collaborate with Application Engineering, Product Management, Marketing and other teams to identify and deliver the highest impact enhancements in a timely manner • Monitor and manage the overall effectiveness of the data platform to balance performance, stability, and cost

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.