A part of global technology organization Tieto, MentorMate creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. With mature and established practices in enterprise web and mobile development, quality engineering, technical architecture, human-centered design, cloud, DevOps, data, and analytics, the company provides its people with the opportunity to work on impactful, global projects for recognizable brands.
We are looking to hire a Data Engineering Lead who will be the customer-facing expert for data integration, guiding data collection, mapping, and implementation. You will manage API integrations, monitor data quality, troubleshoot issues, and mitigate risks. Acting as a bridge between customers, internal teams, and vendors, you will champion best practices and provide input to product and engineering teams. This role is ideal for someone who thrives in a fast-paced environment and is passionate about delivering scalable digital health solutions.
Key Responsibilities
Develop expertise in the organization’s data landscape and customer architectures to provide technical oversight during implementation
Support customer onboarding and ensure smooth ingestion of sponsor-specific data sources
Collect and validate source data specifications, guide dataset preparation, and map customer data to internal standards
Configure, test, and maintain API integrations; gather requirements, support upgrades, and update integrations post-implementation
Review customer data quality, advise on notifications, and ensure reliable data flow
Establish best practices for data exchange, monitoring, troubleshooting, and regulatory compliance (HIPAA)
Perform root-cause analysis and lead resolution of integration issues
Collaborate with IT, business units, vendors, and engineering teams to implement integration best practices
Drive continuous improvement through optimized delivery playbooks, checklists, and automation tools
Maintain a commercial focus, delivering value to customers while supporting change initiatives, product releases, and cross-functional priorities
Required Experience & Qualifications
Proven experience delivering technical data integrations across multiple systems and organizations
Knowledge of clinical trial data standards and terminologies (CDISC/USDM)
Strong proficiency in SQL and data manipulation (Python/R), with experience in ETL tools, CLI, and cloud platforms (AWS)
Experience with enterprise CRM systems (e.g., Salesforce) and modern data warehouses
Solid understanding of data modeling, flows, and integration patterns; skilled in troubleshooting complex issues
SaaS experience supporting enterprise customers and managing end-to-end integrations
Strong analytical, problem-solving, and data quality skills
Excellent communication for technical and non-technical stakeholders; customer-facing experience
Bachelor’s degree in IT, Computer Science, Data Science, or related field, or equivalent experience
Excellent spoken and written English language skills
A significant advantage would be
Experience in healthcare technology, digital health solutions, or data-intensive SaaS platforms
Knowledge of data privacy and compliance standards (e.g., HIPAA) and their practical application
Familiarity with integration monitoring tools, automation, and customer delivery playbooks
Experience with AI-driven tools or methods to improve data integration efficiency and reduce manual mapping