The Role
Design, build, configure, and support data pipelines and Palantir Foundry applications. Customize Workshop forms, workflows, and ontologies using TypeScript, develop and optimize PySpark/Spark jobs, ingest and refine data from external sources, ensure data quality and performance tuning, collaborate with stakeholders, and mentor junior engineers.
Summary Generated by Built In
Project Role : Custom Software Engineer
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Palantir Foundry
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Project Role : Lead Data Engineer
Project Role Description : Design, build and enhance applications to meet business process and requirements in Palantir foundry.
Work experience : Minimum 6 years
Must have Skills : Palantir Foundry , PySpark, TypeScript (for customizing Workshop Forms & UI)
Good to Have Skills :
Experience in Pyspark, python and SQL
Knowledge on Big Data tools & Technologies
Organizational and project management experience.
Job Requirements & Key Responsibilities :
Responsible for designing , developing, testing, and supporting data pipelines and applications on Palantir foundry.
Configure and customize Workshop to design and implement workflows and ontologies.
Configure and customize Workshop applications, including designing Forms, Workflows, and Ontology-based interactions.
Write TypeScript to create dynamic and interactive Forms in Workshop for user-driven data entry and validation.
Collaborate with data engineers and stakeholders to ensure successful deployment and operation of Palantir foundry applications.
Work with stakeholders including the product owner, data, and design teams to assist with data-related technical issues and understand the requirements and design the data pipeline.
Work independently, troubleshoot issues and optimize performance.
Communicate design processes, ideas, and solutions clearly and effectively to team and client.
Assist junior team members in improving efficiency and productivity.
Technical Experience :
Proficiency in PySpark, Python and Sql with demonstrable ability to write & optimize SQL and spark jobs.
Hands on experience on Palantir foundry related services like Data Connection, Code repository, Contour , Data lineage & Health checks.
Good to have working experience with workshop , ontology , slate.
Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry.
Experience in TypeScript to create and customize Forms in Workshop, including form validation, user interactions, and data binding with Ontology.
Experience in ingesting data from different external source systems using data connections and sync.
Good Knowledge on Spark Architecture and hands on experience on performance tuning & code optimization.
Proficient in managing both structured and unstructured data, with expertise in handling various file formats such as CSV, JSON, Parquet, and ORC.
Experience in developing and managing scalable architecture & managing large data sets.
Good understanding of data loading mechanism and adeptly implement strategies for capturing CDC.
Nice to have test driven development and CI/CD workflows.
Experience in version control software such as Git and working with major hosting services (e. g. Azure DevOps, GitHub, Bitbucket, Gitlab).
Implementing code best practices involves adhering to guidelines that enhance code readability, maintainability, and overall quality.
Educational Qualification:15 years of full-term education15 years full time education
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Palantir Foundry
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Project Role : Lead Data Engineer
Project Role Description : Design, build and enhance applications to meet business process and requirements in Palantir foundry.
Work experience : Minimum 6 years
Must have Skills : Palantir Foundry , PySpark, TypeScript (for customizing Workshop Forms & UI)
Good to Have Skills :
Experience in Pyspark, python and SQL
Knowledge on Big Data tools & Technologies
Organizational and project management experience.
Job Requirements & Key Responsibilities :
Responsible for designing , developing, testing, and supporting data pipelines and applications on Palantir foundry.
Configure and customize Workshop to design and implement workflows and ontologies.
Configure and customize Workshop applications, including designing Forms, Workflows, and Ontology-based interactions.
Write TypeScript to create dynamic and interactive Forms in Workshop for user-driven data entry and validation.
Collaborate with data engineers and stakeholders to ensure successful deployment and operation of Palantir foundry applications.
Work with stakeholders including the product owner, data, and design teams to assist with data-related technical issues and understand the requirements and design the data pipeline.
Work independently, troubleshoot issues and optimize performance.
Communicate design processes, ideas, and solutions clearly and effectively to team and client.
Assist junior team members in improving efficiency and productivity.
Technical Experience :
Proficiency in PySpark, Python and Sql with demonstrable ability to write & optimize SQL and spark jobs.
Hands on experience on Palantir foundry related services like Data Connection, Code repository, Contour , Data lineage & Health checks.
Good to have working experience with workshop , ontology , slate.
Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry.
Experience in TypeScript to create and customize Forms in Workshop, including form validation, user interactions, and data binding with Ontology.
Experience in ingesting data from different external source systems using data connections and sync.
Good Knowledge on Spark Architecture and hands on experience on performance tuning & code optimization.
Proficient in managing both structured and unstructured data, with expertise in handling various file formats such as CSV, JSON, Parquet, and ORC.
Experience in developing and managing scalable architecture & managing large data sets.
Good understanding of data loading mechanism and adeptly implement strategies for capturing CDC.
Nice to have test driven development and CI/CD workflows.
Experience in version control software such as Git and working with major hosting services (e. g. Azure DevOps, GitHub, Bitbucket, Gitlab).
Implementing code best practices involves adhering to guidelines that enhance code readability, maintainability, and overall quality.
Educational Qualification:15 years of full-term education15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- Palantir Foundry
- PySpark
- TypeScript
- Python
- SQL
- Minimum 3 years of experience
- Minimum 6 years of experience (Lead Data Engineer)
- 15 years full time education
- Hands-on experience with Palantir services (Data Connection, Code repository, Contour, Data lineage & health checks)
- Experience customizing Workshop forms and ontologies (form validation, data binding)
- Experience ingesting data from external sources and syncing via data connections
- Good knowledge of Spark architecture, performance tuning, and code optimization
- Experience managing structured and unstructured data and file formats (CSV, JSON, Parquet, ORC)
- Experience with version control and hosting services (Git, Azure DevOps, GitHub, Bitbucket, GitLab)
- Working experience with Workshop, Ontology, Slate
- Knowledge of Big Data tools and technologies
- Test-driven development and CI/CD workflows
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
