Data Architect - London, United Kingdom - Insurwave

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    Description

    Job Description

    About us

    Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions.

    Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date.

    In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best.

    Our People - Insurwavers

    The success of Insurwave is due to the commitment of our people to delivering the quality and service our clients need to be successful. The commitment to quality and service are paramount to set us apart from our competitors. To maintain and grow the business, we must continue to exceed and improve upon our high standards.

    Insurwavers are high-performing, innovative, collaborative and multi-cultural people focused on delivering our vision in line with our behaviours and unified values. We maximise individual potential by developing our people and reinforcing our culture.

    Insurwavers' voices are heard and valued.

    Our Values

    Client First

    Insurwavers put Client's experience first

    Think Big

    Insurwavers build with ambition

    Team Players

    Insurwavers have each others back

    About the role

    As a Data Architect for our SaaS platform, you will play a crucial role in designing, implementing, and maintaining the data architecture that underpins our entire platform. You will be responsible for overseeing the complete view of data, ensuring its integrity, security, availability, and accessibility to support the platform's objectives and business needs.

    Key responsibilities:

    • Develop and maintain the overall data architecture strategy for our SaaS platform, including conceptual, logical, and physical data models, to support current and future business requirements.
    • Design, implement, and optimise database schemas and structures to ensure efficient data storage, retrieval, and manipulation while adhering to best practices and standards.
    • Oversee the integration of data from various sources and systems into a unified data ecosystem, ensuring seamless data flow and consistency across the platform.
    • Establish and enforce data governance policies, standards, and procedures to ensure data quality, security, privacy, and compliance with regulatory requirements.
    • Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, Data dictionary, taxonomy to aid data traceability
    • Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards
    • Analyse and optimise data storage, processing, and retrieval performance to meet performance and scalability requirements, including implementing indexing, partitioning, and caching strategies.
    • Implement robust data security measures, including encryption, access controls, and data masking techniques, to protect sensitive information and ensure compliance with data protection regulations.
    • Plan and execute data migration projects, including Extract, Transform, Load (ETL) processes, to facilitate platform upgrades, migrations, and data consolidation efforts.
    • Collaborate with analytics and reporting teams to design and implement data analytics solutions, data warehouses, and reporting frameworks to support business intelligence and decision-making processes.
    • Work closely with cross-functional teams, including software development, infrastructure, and business stakeholders, to understand data requirements, address data-related challenges, and drive alignment with business objectives.
    • Stay current with emerging technologies, trends, and best practices in data management, architecture, and analytics, and identify opportunities to enhance the platform's data capabilities and performance.

    Skills & Experience

    • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
    • Proven experience as a data architect or similar role, preferably in a SaaS or cloud-based environment.
    • Strong expertise in data modelling, database design, and data integration concepts and techniques.
    • Proficiency in relational and non-relational databases, such as SQL Server, PostgreSQL, MongoDB, etc.
    • Experience with cloud platforms and services, such as AWS, Azure, or Google Cloud Platform.
    • Knowledge of data governance, security, and compliance standards, such as GDPR, HIPAA, etc.
    • Excellent analytical, problem-solving, and communication skills.
    • Ability to work independently and collaboratively in a fast-paced, dynamic environment.
    • Relevant certifications (e.g., Certified Data Management Professional (CDMP), AWS Certified Solutions Architect, etc.) are a plus.

    Desirable

    • Knowledge of Azure ecosystem
    • Experience in working with MLOps frameworks (preferably Azure-ML)
    • Experience with CI/CD pipelines, Test-Driven Development and pipeline automation.