Data Integration Manager Jobs in Prosper, TX (NOW HIRING)

Job Overview:

We are seeking experienced and highly skilled Palantir Data Solutions Lead across our organization and client base. The ideal candidate will have 15+ years of experience in enterprise data integration, advanced analytics, and managing large-scale data-driven projects, particularly using Palantir's suite of tools like Palantir Foundry and Palantir Gotham.

This role involves strategic leadership, oversight of cross-functional teams, and active engagement with stakeholders to ensure the successful design, implementation, and optimization of Palantir data solutions tailored to complex business needs.

Key Responsibilities 

• Strategic Leadership:
  • Lead and drive the implementation of Palantir data solutions, ensuring alignment with the organization's strategic goals.
  • Provide expert guidance on the design and execution of data integration, analytics, and data governance strategies.
  • Work closely with C-level executives, business leaders, and technical teams to translate business needs into actionable data solutions using Palantir platforms.
  • Define and manage the roadmap for deploying and scaling Palantir solutions across multiple business units or client domains.
• Project Management and Delivery:
  • Oversee and manage the full lifecycle of Palantir projects, including planning, execution, and post-deployment optimization.
  • Ensure timely delivery of data integration, data modeling, and analytics solutions, driving adherence to best practices, quality standards, and deadlines.
  • Lead a cross-functional team of data engineers, analysts, and other stakeholders to ensure the successful implementation of complex data workflows and solutions.
  • Monitor and manage the performance of deployed systems, ensuring continuous improvement and scalability.
• Technical Expertise:
  • Utilize in-depth knowledge of Palantir Foundry and Palantir Gotham to design, build, and manage complex data workflows, integrations, and analytics solutions.
  • Collaborate with technical teams to develop and implement data pipelines, data governance frameworks, and advanced analytics models.
  • Provide guidance on data security, privacy, and compliance with industry standards, including GDPR, HIPAA, and other relevant regulations.
  • Lead efforts to leverage Palantir's advanced analytics capabilities, including machine learning, AI, and real-time data processing, to create business insights and improve operational efficiency.
• Stakeholder and Client Engagement:
  • Serve as the primary point of contact for internal and external stakeholders, including business leaders, project managers, and clients.
  • Actively engage with clients to understand their data challenges and translate them into effective Palantir-powered solutions.
  • Communicate technical concepts to non-technical stakeholders and deliver compelling presentations on solution benefits, progress, and impact.
  • Foster long-term relationships with key clients and stakeholders, ensuring customer satisfaction and identifying new opportunities for Palantir solutions.
• Team Leadership and Development:
  • Mentor and lead a team of senior data engineers, data scientists, and analysts, ensuring professional development and fostering a collaborative environment.
  • Cultivate a high-performance culture with a focus on excellence in data engineering, analytics, and solution delivery.
  • Manage resource allocation and ensure the team has the skills and tools needed to successfully implement and scale Palantir solutions.
• Continuous Improvement and Innovation:
  • Keep up-to-date with the latest developments in data technologies, especially Palantir's platform, and assess how these can be applied to improve business outcomes.
  • Encourage innovation within the team and continuously explore opportunities to optimize data workflows, enhance analytics capabilities, and expand the impact of Palantir solutions.
  • Drive the evolution of data architectures and analytics strategies to stay ahead of industry trends and meet future business needs.

Qualifications 

• Experience:
  • 15+ years of experience in data engineering, data analytics, or data science, with at least 7-10 years focused on implementing enterprise-scale data solutions.
  • Proven track record of leading Palantir-based projects (Foundry, Gotham), including deployment, integration, and scaling.
  • Extensive experience in designing and implementing complex data architectures and workflows across diverse industries (e.g., finance, healthcare, government, etc.).
  • Strong experience in leading cross-functional teams and managing large-scale, high-impact projects from initiation to completion.
• Technical Skills:
  • Expertise in Palantir Foundry and Palantir Gotham, with a deep understanding of the platform's capabilities for data integration, modeling, and analytics.
  • Strong knowledge of data engineering tools and frameworks (e.g., ETL/ELT processes, data pipelines, cloud platforms such as AWS, GCP, Azure).
  • Proficiency in data query languages such as SQL and Python, with hands-on experience in building advanced data models and analytics pipelines.
  • Knowledge of machine learning, AI, and advanced statistical techniques to leverage Palantir's advanced analytics features.
• Soft Skills:
  • Exceptional leadership and management skills, with the ability to motivate and guide cross-functional teams.
  • Strong communication skills, with the ability to effectively present complex technical information to non-technical stakeholders.
  • Strategic thinking with a problem-solving mindset and the ability to drive innovation in data solutions.
  • Excellent project management skills, with experience managing large budgets, timelines, and multiple stakeholders.

Education

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. A Master's degree or higher is preferred.

Preferred Skills

• Experience in specific industries such as defense, finance, healthcare, or manufacturing, where Palantir solutions are widely adopted.
• Familiarity with other data integration and analytics platforms, such as Tableau, Power BI, or Apache Kafka.
• Certification in Palantir technologies or data management certifications such as CDMP (Certified Data Management Professional).

Compensation, Benefits and Duration

Minimum Compensation: USD 64,000
Maximum Compensation: USD 224,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post