Onebridge

• Building, scaling, and leading a high-performing partner ecosystem that drives revenue growth and market expansion. • Execute a comprehensive channel and partner strategy aligned with overall revenue and growth objectives. • Build and manage existing partner programs, including incentives, tiering structures, and performance frameworks. • Identify, recruit, onboard, and enable strategic partners such as resellers, integrators, and alliance partners. • Collaborate with sales leadership to integrate partner-driven opportunities into pipeline development and forecasting. • Partner closely with marketing teams to co-develop joint campaigns, demand generation initiatives, and co-branded programs. • Lead partner enablement efforts including training, certifications, and development of sales playbooks. • Negotiate partnership agreements and manage ongoing relationships to drive sustained growth. • Establish and track KPIs such as pipeline contribution, partner revenue, engagement, and ROI to optimize performance.

• Execute a comprehensive channel and partner strategy aligned with overall revenue and growth objectives. • Build and manage existing partner programs, including incentives, tiering structures, and performance frameworks. • Identify, recruit, onboard, and enable strategic partners such as resellers, integrators, and alliance partners. • Collaborate with sales leadership to integrate partner-driven opportunities into pipeline development and forecasting. • Partner closely with marketing teams to co-develop joint campaigns, demand generation initiatives, and co-branded programs. • Lead partner enablement efforts including training, certifications, and development of sales playbooks. • Negotiate partnership agreements and manage ongoing relationships to drive sustained growth. • Attend industry and partner events while analyzing market trends and ecosystem opportunities to continuously refine and expand the partner network. • Establish and track KPIs such as pipeline contribution, partner revenue, engagement, and ROI to optimize performance.

Role Description As a Global Talent Acquisition & Workforce Analyst, you support and enhance the full employee lifecycle while driving global workforce planning and candidate experience initiatives. You act as a cross-functional partner, collaborating with Sales, Delivery, HR, and Marketing to align hiring strategies with evolving business demand across multiple regions including the US, India, Brazil, and Europe. You are highly organized, detail-oriented, and adaptable, with a strong ability to balance priorities in a fast-paced global environment. You bring a continuous improvement mindset and leverage data, tools, and market insights to optimize recruiting operations and workforce strategies. Day-to-Day - Optimize end-to-end recruiting processes to support hiring needs and enhance the global candidate experience across business units. - Develop job descriptions using market research, stakeholder input, and regional considerations, ensuring alignment with brand standards and consistency through AI tools and templates. - Build and manage candidate-centric platforms, including job postings across LinkedIn, Indeed, and ATS systems, with a focus on performance optimization and targeted geographic strategies. - Support full-cycle recruiting activities, including sourcing, screening, outreach, interview coordination, preparation materials, ATS documentation, and reporting. - Manage candidate engagement channels such as career site chat and inbound inquiries, ensuring responsiveness across global time zones when needed. - Create and manage candidate marketing materials, including content curation and multi-step drip campaigns to engage passive talent. - Partner with Marketing on employer branding initiatives to strengthen talent attraction strategies. - Own and administer the ATS, driving global adoption, system optimization, and reporting enhancements. Qualifications - Bachelor's degree with 2+ years of experience in recruiting, HR, or related project work. - Strong organizational and prioritization skills with the ability to manage multiple workflows in a fast-paced, global environment. - Excellent written and verbal communication skills with experience engaging candidates and stakeholders across regions. - High attention to detail and professionalism in handling confidential data and maintaining accurate ATS documentation. - Continuous improvement mindset with experience optimizing recruiting processes, workflows, and candidate experience. - Experience working with HR systems and recruiting tools, including ATS platforms (Breezy HR, SuccessFactors, ADP) and sourcing tools (LinkedIn Recruiter, SeekOut, Indeed). - Proficiency with data, reporting, and productivity tools (Power BI, Microsoft 365) and exposure to AI tools (Copilot, OpenAI, LinkedIn AI Search) to drive efficiency and insights.

• Design and architect end-to-end data platforms using the Databricks Lakehouse architecture. • Define and implement scalable batch and streaming data pipelines using Apache Spark and Delta Lake. • Partner with engineering, analytics, and business teams to translate functional requirements into technical designs. • Establish and enforce data modeling, performance optimization, and cost-management best practices within Databricks. • Lead cloud-based implementations across AWS, Azure, or GCP, including networking, security, and access controls. • Provide technical leadership through architecture reviews, code reviews, and design sessions. • Support production environments by troubleshooting data quality, performance, and reliability issues.

• Build, refactor, and deliver production‑ready features using TypeScript • Leverage advanced AI coding tools as a core part of your daily development workflow • Apply agentic development workflows to break down problems, generate solutions, validate approaches, and accelerate delivery • Work within sprint cycles, committing to scoped deliverables • Deliver a high volume of story points per sprint • Collaborate closely with senior engineers and technical leadership

• Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud-native data services. • Build, optimize, and support ETL/ELT workflows to enable analytics, reporting, and downstream applications. • Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog. • Ensure data quality, reliability, and performance across large-scale and complex datasets. • Collaborate with cross-functional teams to gather data requirements and translate them into effective technical solutions. • Apply data engineering best practices related to scalability, security, monitoring, and maintainability. • Support the continuous improvement of data architecture, pipeline performance, and operational stability in a cloud environment.

• Deliver high-impact features in a fast-moving, AI-assisted development environment • Build, refactor, and deliver production-ready features using TypeScript • Leverage advanced AI coding tools in daily development workflow • Work within sprint cycles and meet assigned deadlines • Collaborate closely with senior engineers to solve complex problems • Participate in technical discussions and shape best practices for AI-assisted development

• Architect and guide implementation of Databricks‑based data platforms, leveraging Lakehouse and Medallion architecture best practices. • Provide hands‑on technical leadership across data engineering, analytics, and AI‑enabled use cases using Databricks. • Define and enforce data governance, security, and access control standards using Databricks Unity Catalog and enterprise data management principles. • Enable and support AI/ML workloads, including ML pipelines and model lifecycle integration within the Databricks ecosystem. • Optimize platform performance, scalability, and cost efficiency with a FinOps‑oriented mindset. • Collaborate closely with business leaders, architects, and engineering teams to align platform capabilities with enterprise data and analytics needs. • Serve as a resident technical authority, providing architectural guidance, mentoring teams, and ensuring solution quality and consistency.

• Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging best‑practice patterns and reference architectures. • Lead pre‑sales and business development efforts by assessing current‑state environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions. • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise‑scale architecture decisions. • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams. • Collaborate with cross‑functional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization. • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct people‑management responsibilities. • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.

• Perform hands‑on configuration of the Profisee MDM SaaS platform across core master data domains • Design and implement data preparation logic, entity models, attributes, and relationships • Configure and tune match, merge, and survivorship rules, including auto‑match and potential match scenarios • Implement data quality and data standardization rules aligned with business and governance requirements • Partner with business and technical teams to validate MDM configurations, stewardship workflows, and business rules • Contribute to solution design discussions by providing recommendations on data ingestion approaches, matching strategies, and stewardship capabilities • Support testing, refinement, and documentation to ensure MDM configurations are ready for production deployment