Job Description
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 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. Apply tot his job