Billigence

Solutions Engineer

• Architect the full Amazon Connect environment including queues, routing, automation flows, and customer experience pathways.
• Define how systems connect into the platform: CRMs, workforce management, ticketing, analytics, vendor products, and API-based services.
• Partner with solution vendors to ensure cohesive end-to-end design and technical alignment.
• Produce architectural artefacts including integration maps, sequence diagrams, technical specifications, and deployment patterns.
• Advise on best-practice contact-centre operating models and configuration patterns.
• Engage stakeholders across business, operations, technology, and external suppliers to drive clarity and alignment.
• Oversee governance around configuration, change control, and technical quality.
• Support workshops, design reviews, and early-stage planning sessions, both remotely and on-site.

AWS Solution Architect

Consultant

• Conduct in-depth data profiling and analysis to identify quality issues, anomalies, and risks.
• Evaluate existing Data Quality controls, identify gaps, and recommend improvements.
• Lead assessments across the six core data quality dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
• Collaborate with business data owners, stewards, and engineers to align on definitions, use cases, and quality expectations.
• Facilitate sessions to review DQ findings and define rules, thresholds, and control points.
• Perform root cause analysis of data quality issues and recommend remediation plans.
• Guide the implementation of DQ rules, ensuring coverage across all dimensions and optimal enforcement points.
• Leverage Collibra Data Quality (or similar tools) for rule authoring, profiling, scoring, and issue management.
• Automate rule enforcement, monitor ongoing DQ health, and maintain feedback loops for remediation.
• Ensure DQ assets align with governance policies and enterprise metadata standards.
• Document assessments, rules, and decisions for audits, compliance reviews, and governance checkpoints.

Collibra DQ Consultant

• Take ownership of Alation configuration: define and implement the metamodel in collaboration with internal architecture teams and drive development work.
• Design and deliver Power BI dashboards, translating designs into production-ready, scalable solutions.
• Work with cross-functional teams to refine and embed data management and governance processes into business procedures.
• Partner with internal stakeholders to ensure alignment, adoption, and measurable value delivery.
• Support project planning, scope definition, issue tracking, and risk management to ensure smooth delivery.
• Communicate effectively with both technical and business audiences, including analysts, managers, and executives.
• Continuously learn and share knowledge on tools, techniques, and best practices within the team.

Data Management Consultant

• Partner with clients to deliver actionable, data-driven insights that address business and technology challenges.
• Design and implement BI and analytics solutions using tools such as Alteryx, Snowflake, AWS, SQL, Tableau, Power BI, and more.
• Translate business requirements into technical solutions, including dashboards, reports, and data pipelines.
• Communicate effectively with stakeholders across technical and business functions, from analysts to executives.
• Manage project activities such as planning, scope definition, issue tracking, and risk management.
• Lead or support end-user training and documentation to ensure successful adoption of solutions.
• Act as a bridge between business and IT, ensuring alignment and value delivery.
• Continuously learn new tools and techniques and share knowledge with the wider team.

Senior Data Consultant

• Partner with clients to deliver data-driven insights that solve business and technology challenges.
• Design and implement BI and analytics solutions using Alteryx, Power BI, SQL, and other modern data tools.
• Translate business requirements into scalable technical solutions — including dashboards, reports, and data pipelines.
• Communicate effectively with stakeholders across business and technical functions, from analysts to executives.
• Support project delivery through planning, scope definition, issue tracking, and risk management.
• Lead or assist in end-user training and documentation to ensure successful solution adoption.
• Act as a bridge between business and IT, ensuring alignment and measurable value delivery.
• Continuously learn new tools and techniques, participate in training sessions, and share knowledge within the wider team.

Senior Data Consultant – Outside IR35

• Define and document the high-level design for the D&T tooling landscape aligned to the baselined Metamodel and Detailed Data Model.
• Identify where data entities, attributes, and relationships are mastered vs. consumed across systems.
• Evaluate existing tools, integrations, and automations to inform the architecture design.
• Establish the roadmap and sequencing for implementation, including integration and data migration strategy.
• Design for resilience and flexibility, ensuring data integrity through organisational and tooling changes.
• Define data synchronisation and sharing principles that enforce agreed data mastery.
• Balance access, performance, and licensing costs to maximise value across platforms.
• Support alignment to Knowledge Management and broader enterprise data strategy.

Solution Architect – Inside IR35

Data Engineer

• Design and document the Metamodel and Detailed Data Model based on insights gathered during Discovery.
• Define and align data entities, attributes, and relationships across multiple perspectives (Architecture, ITSM, Delivery, Finance).
• Partner with the Solution Architect to map data models onto integrated tooling design, identifying master data ownership.
• Ensure the data model is scalable and aligned with long-term architecture roadmap.
• Support data cleansing, validation, and migration activities during implementation.
• Maintain consistency, accuracy, and traceability across all data model components.
• Contribute to continuous improvement of metadata and data governance practices.

Data Architect – Inside IR35

• Design and implement end-to-end data architecture leveraging Snowflake and Matillion for data ingestion, transformation, and storage.
• Define and maintain data modeling standards, data flows, and architecture best practices (dimensional, normalized, star/snowflake schemas).
• Lead the evaluation and adoption of tools in the modern data stack, ensuring alignment with business goals and future scalability.
• Collaborate with data engineers, analysts, and stakeholders to define data requirements and create robust data pipelines.
• Ensure data security, access controls, and compliance with governance frameworks (e.g., GDPR, HIPAA, SOC 2).
• Optimize performance of Snowflake through clustering, caching, query tuning, and cost management.
• Oversee data integration strategies from multiple sources (APIs, databases, flat files, third-party platforms).
• Establish data quality and metadata management practices across platforms.
• Act as a subject matter expert and provide guidance on Matillion orchestration, reusable job frameworks, and job performance optimization.