Solution Architect - Data Engineering & Management

@ TP

Overview

Maximize Your Impact with TP. TP is a global hub of innovation with €10 billion annual revenue and a team of 500,000 employees across 170 countries. Recognized as a globally certified Great Place to Work in 72 countries, TP values diversity, equity, and inclusion.

The Opportunity

TP is a leader in digital business services. The TP.ai Data Services team focuses on Data Engineering, Data Management, and AI-ready data operations. The Solution Architect - Data Engineering & Management will design modern data architectures, streamline data operations, and ensure regulatory compliance while enhancing client value through collaboration with cross-functional teams.

Responsibilities & Duties

• Design end-to-end data solutions including data lakes, lakehouses, and streaming pipelines.
• Build and optimize DataOps frameworks to improve automation and data quality.
• Implement data governance frameworks ensuring compliance with GDPR, CCPA, ISO 27001.
• Collaborate with engineering teams to reduce data latency and optimize costs.
• Support pre-sales activities including RFPs, PoCs, and solution demonstrations.
• Lead client workshops and provide internal training on best practices.

First-Year Objectives

• Establish foundational data architecture and standards.
• Drive client solutioning and business growth through workshop leadership.
• Develop AI-ready modernization solutions with Sales and Delivery teams.
• Build internal thought leadership in modern data engineering.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field with 5+ years of enterprise data platform leadership experience. Expertise in cloud-native data solutions (AWS, GCP, Azure), modern data platforms, ETL/ELT pipelines, orchestration frameworks, and data governance. Experience in pre-sales, stakeholder management, and strategic communication is required.

Preferred Qualifications

• Hands-on experience with Airflow, Dagster, or Prefect.
• Familiarity with data mesh architectures and managed data service pricing models.
• Experience with AI/ML data enablement and industry-specific expertise.

Pre-Employment Screenings

Employment is contingent on a comprehensive background check, including global sanctions and watch list screening.

Policy on Unsolicited Submissions

TP does not accept candidate submissions from unsolicited third parties. Applications from external recruiters or headhunters will not be considered.

Diversity, Equity & Inclusion

TP is committed to a diverse, equitable, and inclusive workplace. All individuals are welcome to apply regardless of background.

Key skills/competency

• Data Architecture
• Data Engineering
• Data Management
• Cloud Computing
• Data Governance
• ETL/ELT
• DataOps
• Compliance
• Client Engagement
• Pre-sales