Foundry Data Architect: Scalable Pipelines

Zyntek; Houston (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Zyntek in Houston, TX is seeking a Data Engineer proficient in SQL, Python, Spark to design scalable data solutions within a Palantir Foundry environment. You will optimize data pipelines and collaborate with offshore team to translate business requirements into technical solutions.

Responsibilities include developing data models, ontology layers, and dashboards while ensuring data quality and governance across Palantir-based solutions.

Qualifications

• Experience building scalable data pipelines in a Palantir Foundry environment.
• Strong SQL, Python, and Spark skills for data processing and analytics.
• Knowledge of Hadoop, PySpark, and data governance practices.

Responsibilities

• Design and optimize scalable data pipelines and workflows.
• Collaborate with stakeholders to translate business requirements into data solutions.
• Maintain data models, ontology layers, and dashboards to support analytics.
• Monitor data quality and governance standards across Palantir-based solutions.
• Leverage Palantir modules Contour, Quiver, and Vertex for app development.

Skills

SQL

Python

Spark

Hadoop

TypeScript

Data Modeling

Data Governance

Tools

Palantir Foundry

Contour

Quiver

Vertex

App Development

Code Repository

PySpark

Job description

Zyntek in Houston, TX is seeking a Data Engineer proficient in SQL, Python, Spark to design scalable data solutions within a Palantir Foundry environment. You will optimize data pipelines and collaborate with offshore team to translate business requirements into technical solutions.

Responsibilities include developing data models, ontology layers, and dashboards while ensuring data quality and governance across Palantir-based solutions.