MindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge AI™ is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with MindBridge’s AI, we set the standard for innovation, scalability, and customer satisfaction.
At MindBridge, we're driven by innovation and excellence, united as a team to revolutionize financial integrity. Here, your ideas matter, and your efforts make a meaningful impact. If you're passionate about using AI to drive positive change, MindBridge is the perfect fit. What distinguishes us is our unwavering commitment to our values: Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a strong sense of community flourish.About this role:We are seeking a highly skilled and experienced Data Architect to lead a dynamic development team responsible for integrating with data lake providers, ERP systems, and automation vendors.
This role requires a deep understanding of data platforms, hands-on coding expertise, and experience developing API connectors. As a Solution/Data Architect, you will play a crucial role in guiding the technical direction of partner integrations while collaborating closely with external partners and internal stakeholders. You will also work closely with the CTO to define and implement the technical strategy for these integrations.Your responsibilities:
- Lead and Manage Development Team: Manage, oversee and mentor a team of developers and engineers, ensuring best practices in software development and architecture, and fostering a collaborative environment.
- Architect Integration Solutions: Design and implement scalable solutions for integrating data lake platforms, ERP systems, and automation vendors. Ensure these solutions align with the overall data strategy of the organization.
- Hands-On Development: Lead the development of integrations and connectors with third-party systems, utilizing APIs and other integration technologies. Be involved in all phases of development from conception to deployment.
- API and Connector Development: Develop and maintain APIs, data pipelines, and connectors that facilitate seamless data exchange between platforms and systems.
- Technical Leadership: Provide technical direction and oversight for integration projects, including architecture design, code reviews, and performance optimizations.
- Collaboration with Partners: Engage with external partners to ensure successful integrations, including technical discussions, requirement gathering, and troubleshooting.
- Stakeholder Communication: Work closely with internal teams, including product management, operations, and data science, to align integration efforts with business goals. Provide regular updates to the CTO and other stakeholders.
- Data Platform Expertise: Utilize your knowledge of data platforms and cloud technologies (such as AWS, Google Cloud, or Azure) to architect efficient and scalable integration solutions.
- Automation and ERP System Integration: Lead the integration efforts with ERP systems and automation vendors, ensuring that data flows seamlessly across systems to support business operations.
- Continuous Improvement: Continuously evaluate and recommend improvements to processes, tools, and technologies used for partner integrations, ensuring the team remains agile and innovative.
Key skills & qualifications:
- 7+ years of experience in software development, with a focus on data platforms and system integration.
- Proven experience in leading a development team and delivering successful integration projects.
- Hands-on experience with API development, data connectors, and working with ERP systems, automation platforms, and data lakes.
- Proficiency in one or more programming languages such as Python, Java.
- Strong understanding of RESTful APIs, web services, and microservices architecture.
- Experience with cloud platforms (AWS, Google Cloud, Azure) and their data services (e.g., S3, BigQuery, Azure Data Lake).
- Experience working with Data Platforms such as Data Factory, Databricks, Snowflake and ERP vendors such as Oracle, Sage, SAP, QuickBooks, Xero.
- Knowledge of database systems (SQL/NoSQL) and data warehousing solutions.
- Familiarity with ERP systems and automation vendors.
- Excellent communication and leadership skills.
- Ability to collaborate with internal and external stakeholders, including partners and vendors.
- Strong problem-solving and troubleshooting skills.
Additional preferred skills:
- Experience with automation tools and platforms.
- Experience working in an Agile/Scrum environment.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Requirements Contingent on Employment:
- Fulfill requirements necessary to obtain and clear a full background check.
Why You’ll Love Being Part of Our Team:📈 Competitive Compensation and Equity🏠 Flexible Work – Hybrid or Remote🍏 Comprehensive health benefits and wellness programs📚 Professional development opportunities🌴 Flexible Time Off💰 Company Matched Retirement Plans🔕 Unplug and recharge - 4 company-wide digital detox days annuallyEqual Opportunity at MindBridge: At the heart of our global success lies commitment to diversity and inclusion. We rigorously enforce an equal opportunity policy in all aspects of employment, championing merit and qualifications as our benchmarks.
MindBridge is a proud equal opportunity employer, embracing applicants of all backgrounds without regard to race, nationality, religion, gender, disability, or any other factors. At MindBridge, we are committed to providing an accessible candidate experience. If you require accommodations during the interview process or beyond, please inform us. We will work with you to provide necessary support and reasonable accommodations while maintaining confidentiality. Your comfort and participation are paramount to us.
