Customer Data Integration Specialist

AvePoint•Jersey City, NJ

54d•$110,000 - $125,000

About The Position

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint's global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com. At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you! Overview We are seeking a dedicated and highly skilled Customer Data Integration Specialist to join our team. This pivotal role involves working with various systems and teams that manage customer data, integrating this data into a comprehensive Customer 360 view. The ideal candidate will be responsible for architecting integrations between customer systems, collaborating with technical and business process teams to meet requirements, ensuring the quality of data, adhering to integration patterns, and managing integration projects. AvePoint has many customer systems spanning across Marketing, Sales, Customer Success and Support. To ensure that the different systems have the relevant data points, as well as to have a comprehensive view of the customer, we need to integrate the systems, load the data, and blend and model the data so we can give the right people access to the right customer data at the right time.

Requirements

Education: Bachelor's degree in Computer Science, Information Systems, or a related field.
Experience: Minimum of 5 years' experience in data integration, data architecture, or a related field. Familiar with data integration patterns.
Technical Skills: Proficiency in integration platforms and tools. Strong knowledge of SQL, ETL processes, Spark, and REST/SOAP API integrations. Experience with tools such as Zapier, Windsor, and Segment.
Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data integration scenarios.
Communication: Strong verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
Leadership: Proven experience in leading and managing projects and cross-functional teams.
Attention to Detail: High level of accuracy and attention to detail in data integration and quality assurance processes.
Familiar with data and integration of: Dynamics CRM 365, Marketo, Segment, Gainsight PX/CS, 6 Sense, BigQuery, ZoomInfo and other customer data systems.

Nice To Haves

A Master's degree is a plus.
Experience with Microsoft Fabric, Power BI, and Power Query a plus.

Responsibilities

Architecting Integrations: Design and implement robust integration solutions between multiple customer data systems to create a unified Customer 360 view.
Collaboration: Work closely with technical teams, business process teams, and other stakeholders to gather and fulfill integration requirements.
Data Quality Assurance: Ensure the integrity and quality of customer data across all integrated systems through rigorous testing and validation processes, as well as supporting any applicable privacy regulations.
Integration Patterns: Follow industry best practices and established integration patterns to ensure seamless and efficient data integration.
Project Leadership: Lead and manage integration projects from inception to completion, ensuring that timelines and objectives are met.
Documentation: Maintain comprehensive documentation of integration processes, architectures, and data flows.
Continuous Improvement: Identify opportunities for process improvements and implement best practices to enhance data integration efficiency and effectiveness.