Senior Enterprise Data Solutions Architect

11 hours ago

Noida, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 22,00,000 - ₹ 35,00,000
Job Title

Azure Data Engineer + Palantir



Job Description

We are seeking experienced professionals with a strong background in Azure data engineering and Palantir Foundry to architect, build, and optimize large-scale data integration pipelines and analytical models for enterprise deployments.


Core Responsibilities
  • Azure Data Engineering:
  • Design and develop robust data pipelines using Azure Databricks, Azure Data Factory, and PySpark.
  • Implement scalable ETL solutions leveraging Python and SQL for data ingestion, transformation, and loading.
  • Build and maintain data models and workflows within a modern Azure data stack environment.
  • Drive automation and orchestration of data pipelines, ensuring performance, scalability, and reliability.

Palantir Foundry Platform
  • Data Integration Workflows:
  • Design and develop data integration workflows, connecting to multiple source types and managing data pipelines using Python transforms, Foundry code repositories, and metadata-driven architecture.
  • Implement model integration workflows including logic modeling, templated reports, and operational analytics using Foundry's platform tools.
  • Configure and manage Ontology Manager, defining object types, object views, user actions, business functions, and permissions to structure enterprise-wide data semantics.
  • Build custom Foundry applications using Workshop, writeback pipelines, and advanced actions to drive operational decision-making.

Collaboration and Communication
  • Cross-Functional Team Collaboration:
  • Collaborate across data, engineering, and product teams to implement analytical use cases using Foundry's platform modules.
  • Translate business requirements into scalable technical solutions using agile methodologies and continuous delivery practices.
  • Demonstrate strong communication skills to present technical solutions to stakeholders and cross-functional teams.

Qualifications
  • Required Skills:
  • 5+ years of professional experience in Azure data engineering, including hands-on work with Python, SQL, PySpark, Azure Databricks, and Azure Data Factory.
  • Proven experience with Palantir Foundry, including data integration, model building, and application development.
  • Deep understanding of Foundry's ontology-based data modeling, security frameworks, and application modules.
  • Strong understanding of data governance, access control, and operational analytics within enterprise data environments.
  • Ability to work in agile development teams, contribute to design discussions, and participate in sprint planning and code reviews.

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