Senior Search Engineer

About You – experience, education, skills, and accomplishments

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in technical solution architecture, with a focus on data management and integration platforms.
• 5+ years of experience in enterprise architecture practices and frameworks (e.g., TOGAF, Zachman).
• 5+ experience with search and data integration tools and technologies (e.g., Informatica, Elastic, Boomi, Talend, MuleSoft, Apache Kafka).
• 5+ years of experience with data warehousing, data lakes, ETL/ELT processes, and cloud data platforms (e.g., AWS and Azure).

It would be great if you also had . . .

• A Master's degree
• Proficiency in data modeling, database design, Machine Learning and SQL.
• The ability to interact effectively with technical and non-technical stakeholders.
• Experience with Agile and DevOps methodologies is a plus.
• Relevant certifications in enterprise architecture or data management (e.g., TOGAF, DAMA) are highly desirable.

What will you be doing in this role?

• Enterprise Architecture Design
  • Develop and maintain the enterprise architecture blueprint for search solutions, data management and integration services.
  • Ensure alignment of data and search solutions with overall business and technology strategies.
  • Create and enforce architecture standards, guidelines, and best practices.
• Solution Development
  • Design and architect robust, scalable data integration solutions using modern platforms and technologies.
  • Lead the design and implementation of data management systems, including data warehousing, data lakes, and ETL/ELT processes.
  • Evaluate and recommend tools, technologies, and processes to ensure optimal data architecture.
• Technical Leadership
  • Provide technical guidance and mentorship to development teams.
  • Drive the adoption of innovative technologies and methodologies to enhance solution delivery.
  • Ensure technical solutions are secure, scalable, and aligned with industry standards.
• Project Management
  • Collaborate with project managers to define project scope, timelines, and deliverables.
  • Oversee the technical aspects of project execution, ensuring successful delivery of high-quality solutions.
  • Identify and mitigate risks associated with data integration and management projects.
• Stakeholder Engagement
  • Work closely with business stakeholders to understand their requirements and translate them into technical solutions.
  • Present technical concepts and solutions to non-technical stakeholders in a clear and concise manner.
  • Act as a liaison between business units, development teams, and external vendors.
• Continuous Improvement
  • Stay updated with the latest trends and advancements in data management, integration platforms, and enterprise architecture.
  • Promote a culture of continuous improvement by identifying opportunities for process enhancements.
  • Lead efforts to streamline and optimize data integration workflows and practices