• Collaborate with other Engineers and Architects to define the enterprise data architecture roadmap. • Drive the design and optimization of OLTP and OLAP models for scalability, performance, and maintainability. • Establish standards for data modeling, storage, and integration across systems. • Partner with other key stakeholders within engineering in developing a comprehensive data and BI strategy aligned with business objectives. • Define data governance practices, data access control, compliance, and quality standards. • Lead proof-of-concepts (POCs) for new data technologies and frameworks. • Own the architectural review process and guidance to development teams on data-related projects. • Establish and ensure best patterns and practices for ORM usage (Entity Framework and others) and SQL optimization, according to business needs. • Evaluate and recommend where AI/ML can enhance data-driven decision-making. • Stay current with modern data engineering trends, cloud-native architectures, and big data platforms. • Actively participate and take ownership of Data Architecture artifacts via ADR process. • Drive AI adoption by introducing and guiding teams in leveraging AI capabilities within the data engineering space to enhance internal efficiency, innovation, and decision-making in everyday workflows. • Liaison between technology and product teams assisting teams in translating business requirements into tangible architectures that meet business needs now in and in the future. • Design data architectures that accurately reflect and support evolving complex product and business processes and are required by our customer base. • Lead data architecture initiatives, collaborating with cross functional teams, from concept through implementation, including governance and quality frameworks. • Identify opportunities for predictive analytics and advanced modeling. • Support and promote the company values through positive interactions with both internal and external stakeholders on a regular basis. • Other strategic business initiatives or special cross-functional project involvement as required.

• Leads the development and implementation of comprehensive, enterprise-wide data architecture frameworks that ensure consistency, scalability, and alignment with the organization’s strategic goals. • Oversees data architecture initiatives across multiple business units, ensuring seamless design and delivery of complex data solutions that address enterprise needs. • Conducts architecture reviews and ensures that solutions meet scalability, security, performance, and reusability standards across the organization. • Develops and maintains a forward-looking data architecture vision and roadmaps that supports the organization’s long-term business strategy and digital transformation goals. • Oversees enterprise-scale data integration initiatives, ensuring that data from multiple, diverse sources is integrated into a cohesive and unified architecture that supports business intelligence and advanced analytics. • Provides technical leadership for data architecture, ensuring that advanced data modeling, storage, and integration practices adhere to industry best practices and organizational standards. • Incorporates data governance principles into architectural decisions, ensuring that data management practices adhere to organizational policies. • Establishes and oversees data quality standards, including data cleaning, validation, and monitoring processes. • Ensures that data security measures, such as access control and encryption, are appropriately implemented for sensitive data. • Serves as the primary liaison to executive leadership on data architecture strategy, presenting strategic recommendations and influencing key decisions for enterprise data initiatives. • Translates complex technical and architectural concepts into clear, business-relevant insights, ensuring alignment between data strategies and overall business outcomes. • Builds and nurtures relationships with executive leadership, IT, and business unit leaders to champion the data architecture strategy across the organization. • Shapes the future direction of the organization’s data architecture by staying informed on emerging technologies, evaluating their potential adoption, and leading the execution of future-state architectures. • Develop in-depth knowledge of AI/Gen-AI impacts on Data engineering & management capabilities and work with AI/Innovation team to bring most relevant AI led intervention for Data teams. • Evaluates new tools, platforms, and systems that could enhance the company’s data infrastructure Collaborates with executive leadership to drive innovation and ensure the organization remains competitive by leveraging cutting-edge technologies and data practices. • Champions proof-of-concept initiatives for new technologies and data solutions that align with the organization’s strategic vision. • Provides mentorship and leadership to data architects, engineers, and cross-functional teams, fostering talent and ensuring high-quality architecture solutions. • Leads and guides cross-functional teams in the design and delivery of data architecture solutions, ensuring timely execution and adherence to enterprise standards.

• Architect and Maintain Financial Data Pipelines • Engineer and Support Application Integrations • Ensure Financial Data Compliance and Security • Build and Sustain Reporting Infrastructure • Serve as Tier 3/4 Escalation Expert for Integration Incidents • Support Implementation and Continuous Improvement

Role Description Tuk Tuk Boom is seeking a detail-oriented and efficient Data Typist Clerk to accurately input, update, and maintain company records and information systems. The ideal candidate possesses excellent typing skills, strong attention to detail, and the ability to manage confidential information while supporting the company's administrative and operational functions. - Accurately type and enter data from source documents into company databases and systems. - Verify and review information for completeness and accuracy. - Update customer, vendor, employee, and inventory records as needed. - Correct data discrepancies and maintain data integrity. - Organize and maintain electronic and physical records. - Prepare reports, spreadsheets, and documentation for management review. - Scan, file, and archive company documents. - Maintain confidentiality of sensitive business information. - Assist with general clerical and administrative duties as assigned. - Meet productivity and accuracy standards for data processing tasks. Qualifications - High school diploma or equivalent required. - Previous experience in data entry, typing, or clerical support preferred. - Excellent typing speed and accuracy. - Proficiency in Microsoft Office Suite, especially Word and Excel. - Strong organizational and time-management skills. - Ability to work independently and meet deadlines. - Excellent attention to detail and problem-solving abilities. Requirements - Fast and accurate typing. - Data entry and record management. - Document organization and filing. - Computer proficiency. - Attention to detail. - Communication and teamwork. - Time management and multitasking. Benefits - Competitive compensation. - Employee meal and food discounts. - Training and professional development opportunities. - Career growth and advancement opportunities. - Flexible scheduling where applicable. - Paid time off for eligible employees. - Supportive and collaborative work environment. - Employee recognition programs.