Enterprise Architect, Data Integration, BI

This is a fully remote position, open to applicants in India.

📋 Description

• Direct the strategic design, architecture, and execution of enterprise data solutions, ensuring they align with the long-term business objectives of Myers-Holum's clients.

• Create and promote the architectural vision for data integration, Business Intelligence (BI), and analytics solutions across a wide array of business functions and applications.

• Design and construct scalable, high-performance data warehouses and BI solutions for clients, leveraging the Oracle NetSuite Analytics Warehouse (NSAW) platform, NetSuite ERP, Suite Commerce Advanced (SCA), and other advanced cloud-based and on-premise technologies.

• Guide cross-functional teams in developing data governance frameworks, data models, and integration architectures that facilitate seamless data flow between diverse systems.

• Convert high-level business requirements into comprehensive technical specifications for the enterprise, ensuring data architecture decisions are in line with broader organizational IT strategies and compliance standards.

• Design end-to-end data pipelines, data integration frameworks, and data governance models to enable the smooth transition of structured and unstructured data from various sources (both cloud and on-premise).

• Provide thought leadership in assessing and recommending emerging technologies, tools, and best practices for data management, integration, and business intelligence.

• Supervise the deployment and adoption of essential enterprise data initiatives, guaranteeing scalability, security, and performance.

• Interact with C-suite executives and senior stakeholders to present architectural solutions, ensuring they align with enterprise objectives and assist in driving digital transformation initiatives.

• Mentor and lead technical teams, cultivating a culture of continuous learning and innovation in data management, BI, and integration.

• Conduct architectural reviews and offer guidance on best practices for data security, compliance, and performance enhancement.

• Facilitate technical workshops, training sessions, and collaborative meetings with clients to ensure effective adoption of data solutions and build strong relationships.

• Contribute to the creation of internal frameworks, methodologies, and standards for data architecture, integration, and BI.

• Remain informed about industry trends and emerging technologies to continuously advance the enterprise data architecture.

⛳️ Requirements

• Over 10 years of relevant professional experience in data management, business intelligence, and integration architecture.

• More than 6 years of experience in designing and implementing enterprise data architectures, encompassing data warehousing, integration, and analytics.

• Extensive experience in leading cross-functional teams to deliver large-scale data solutions across various departments.

• Proven expertise in cloud-based data architectures (AWS, Oracle Cloud, Azure) and hybrid solutions that merge on-premise and cloud systems.

• Proficient in at least one data integration or pipelining tool (e.g., Fivetran, Talend, Glue, Nexla, Informatica) with a deep understanding of the complete data integration lifecycle.

• Strong experience with at least one relational database (Oracle, SQLServer, MySQL, PostgreSQL, Snowflake) and its integration into enterprise architectures.

• Expertise in BI platforms such as Oracle OBIEE, Oracle Analytics Cloud (OAC), PowerBI, Tableau, or similar tools, with experience in architecting enterprise-level BI solutions.

• Familiarity with FDI/FAW, ADW Single Sign-On (SSO) integration, including SSO with Oracle Cloud Infrastructure (OCI) and Microsoft Entra (formerly Azure Active Directory).

• Strong understanding of ERP systems, business processes, and how they integrate into enterprise-wide data solutions, preferably NetSuite ERP.

• Hands-on experience in designing REST APIs, GraphQL APIs, and other integration mechanisms to connect with cloud and on-premise data sources.

• Experience implementing data governance, data security, and compliance frameworks in large-scale enterprise environments.

• Strong business analysis and stakeholder management abilities, with the skill to translate business needs into technical solutions.

• Outstanding written and verbal communication skills, with the capacity to effectively convey complex technical concepts to non-technical stakeholders.

• Experience in spearheading enterprise-wide digital transformation initiatives and managing the complete lifecycle of data-driven projects.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development