TP · 1 day ago
Solution Architect - Data, Engineering & Management
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.
CRMCustomer ServiceOutsourcingTechnical Support
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
Qualification
Required
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
Preferred
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
TP
TP is a global digital business services company.
H1B Sponsorship
TP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Public CompanyTotal Funding
$2.03B2025-01-15Post Ipo Debt· $514.85M
2023-11-16Post Ipo Debt· $1.52B
2007-01-18IPO
Leadership Team
Recent News
2025-12-03
2025-11-25
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