MarkLogic Developer

Summary: The MarkLogic Developer role involves serving as a technical leader in architecting and delivering enterprise-grade NoSQL solutions using MarkLogic. The position requires designing scalable architectures, optimizing performance, and implementing data governance within MarkLogic environments. Additionally, the developer will collaborate with cross-functional teams and provide mentorship to ensure best practices in MarkLogic adoption. This role is fully remote, allowing for flexibility in work arrangements.

Key Responsibilities:

• Serve as a key technical leader in architecting and delivering enterprise-grade NoSQL solutions using MarkLogic across data modernization PODs.
• Design scalable, secure, and high-performance MarkLogic architectures supporting complex enterprise data workloads.
• Lead development of MarkLogic data models, indexing strategies, and search configurations to optimize performance and query efficiency.
• Drive performance tuning, capacity planning, and operational optimization for large-scale MarkLogic deployments.
• Implement compliance-driven data governance, security controls, and role-based access models within MarkLogic environments.
• Enable intelligent data integration using MarkLogic features such as semantic enrichment, RDF triples, and ontology-based modeling.
• Build and optimize federated search capabilities across diverse structured and unstructured data sources.
• Modernize legacy data ecosystems by designing migration strategies and transforming them into agile, scalable MarkLogic-based platforms.
• Collaborate with cross-functional engineering and data teams to define best practices, reusable patterns, and reference architectures.
• Act as a Technical Solutions Advisor to senior leadership, guiding strategic decisions on MarkLogic adoption and enterprise data modernization.
• Provide technical mentorship and oversight to development teams implementing MarkLogic-based solutions.

Key Skills:

• Expertise in MarkLogic and NoSQL database solutions.
• Strong understanding of data modeling, indexing strategies, and search configurations.
• Experience with performance tuning and operational optimization of large-scale deployments.
• Knowledge of data governance, security controls, and role-based access models.
• Familiarity with semantic enrichment, RDF triples, and ontology-based modeling.
• Ability to design migration strategies for legacy data ecosystems.
• Strong collaboration and mentorship skills.
• Technical leadership and advisory capabilities.

Salary (Rate): £60

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT