[Remote] Solution Architect - Data, Engineering & Management

Note: The job is a remote job and is open to candidates in USA. TP is a global leader in digital business services, specializing in Data Engineering and Management. The Solution Architect – Data Engineering & Management will design modern data architectures, streamline data operations, and ensure regulatory compliance while collaborating with cross-functional teams to enhance client value.

Responsibilities

• Design end-to-end data solutions, including data lakes, lakehouses, real-time streaming pipelines, ETL/ELT workflows, and data integration architectures
• Ensure modularity, scalability, and interoperability for enterprise-wide data ecosystems across hybrid and multi-cloud environments
• Build and optimize DataOps frameworks to improve pipeline automation, data quality, and observability
• Collaborate with engineering teams to reduce data latency, optimize compute/storage costs, and ensure high availability and reliability
• Implement data governance frameworks, including data lineage, cataloging, access controls, and quality metrics
• Ensure compliance with GDPR, CCPA, ISO 27001, and other relevant standards for privacy, security, and ethical data use
• Partner with Sales, Business Development, and Delivery teams to craft data engineering solutions aligned with client needs
• Support RFP responses, pricing models, and deal structuring with robust cost modeling and architecture justification
• Lead client workshops, PoCs, and solution demonstrations to showcase TP.ai Data Services capabilities
• Work with Finance and Product teams to develop pricing strategies based on cost-to-serve, consumption, and value-driven models for data platforms and managed services
• Benchmark against industry pricing trends to ensure competitiveness
• Stay at the forefront of emerging data technologies (orchestration frameworks like Airflow, Dagster, Prefect, data mesh architectures, AI-ready data pipelines)
• Provide internal training and external advisory on data engineering best practices, modernization strategies, and ROI-driven data transformation
• Engage with AI/ML, Security, Operations, and Trust & Safety teams to ensure integrated, compliant, and future-proof data environments

Skills

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 5+ years of experience in data architecture, data engineering, or enterprise-scale data platform leadership.
• Proven expertise in cloud-native data solutions (AWS, GCP, Azure) and modern data platforms (data lakes, lakehouses, streaming architectures).
• Strong experience in ETL/ELT pipelines, orchestration frameworks, and data integration at scale.
• Deep knowledge of data governance, compliance frameworks, and operationalizing enterprise data.
• Track record of aligning data strategies to business outcomes, driving operational efficiency, cost optimization, and revenue enablement.
• Experience in pre-sales, solutioning, and client consulting, including PoCs, RFPs, and executive presentations.
• Excellent stakeholder management, strategic consulting, and communication skills.
• Hands-on experience with orchestration and workflow management tools (Airflow, Dagster, Prefect) and data mesh or fabric architectures.
• Exposure to AI/ML data enablement (data curation, annotation pipelines, ML-ready datasets).
• Familiarity with managed data services pricing, cost modeling, and optimization frameworks.
• Industry expertise across Technology, BFSI, Retail, Gaming, or Healthcare verticals.
• Thought leadership demonstrated via publications, speaking engagements, or patents in Data Engineering or Data Management.

Company Overview

• TP is a global digital business services company. It was founded in 2018, and is headquartered in Sheridan, Wyoming, USA, with a workforce of 10001+ employees. Its website is https://www.tp.com/en-us/.

Company H1B Sponsorship

• TP has a track record of offering H1B sponsorships, with 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.

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