What youll be DOING
What will your essential responsibilities include?
- Understanding of Data Architecture: Demonstrates comprehensive understanding of modern data architecture principles and methodologies.
- Data Modeling Expertise: Skilled in designing and enhancing conceptual, logical, and physical data models aligned with business requirements.
- Canonical Data Model Development: Proficient in developing and implementing canonical data models based on ACORD standards.
- JSON Schema Development: Experienced in creating and validating JSON schemas for data interchange and validation.
- Data Modeling Tools Proficiency: Adept at utilizing data modeling tools, with a preference for expertise in SAP PowerDesigner.
- Data Requirements Analysis: Capable of analyzing complex data requirements and translating them into clear and effective data blueprints.
- Problem-Solving and Analytical Skills: Possesses outstanding problem-solving and analytical skills to address data difficulties.
- Master Data Management Knowledge: Knowledgeable in Master Data Management (MDM) processes and best practices.
- Data Governance Understanding: Understands Data Governance frameworks and compliance requirements.
- Insurance Domain Awareness: Familiar with the insurance business domain (a plus).
- Data Enthusiasm and Organizational Fit: Exhibits a passion for data, with experience working in data-driven organizational environments.
- Data Quality and Security: Committed to maintaining data integrity and quality across pipelines and environments. Adheres to secure coding practices to ensure data and system security.
You will report to Senior Data Engineer - Data Modelling.
What you will BRING
Were looking for someone who has these abilities and skills:
Required Skills and Abilities:
- Business & Insurance Acumen: Possesses a solid understanding of insurance industry principles, processes, and terminology, enabling effective alignment of data solutions with business needs.
- Business & Process Improvement: Identifies opportunities to optimize and streamline data-related processes, contributing to increased efficiency and improved data quality.
- Stakeholder Management: Builds effective relationships with stakeholders across various functions, effectively managing expectations, gathering requirements, and ensuring alignment on project objectives.
- Data Warehousing: Proficient in designing, implementing, and managing enterprise data warehouse solutions using various modeling techniques.
- Cloud-Based Services: Experience with Microsoft Azure suite of products, including Azure Data Factory (ADF), Synapse Analytics, and Azure Data Lake Storage (ADLS).
- Data Governance & Controls: Robust understanding of data governance frameworks, data quality management, and controls to ensure data security and compliance.
- Data Modeling & Engineering: Relevant years of extensive experience in data modeling (relational, semi-structured, data warehouse) and engineering techniques.
- Programming & Data Architecture: Relevant years of experience in programming for data architecture, including designing scalable and efficient data solutions.
- SQL Expertise: Solid skills in writing, optimizing, and analyzing SQL queries for performance and accuracy.
- JSON Schema: Relevant years of experience creating and validating JSON schemas for data validation and interchange.
- Solution Architecture: Ability to analyze complex data requirements and architect practical, achievable solutions aligned with organizational goals.
- SDLC & Agile Methodologies: Robust familiarity with Software Development Life Cycle (SDLC) processes and Agile workflows to ensure timely and quality deliverables.
- Customer Centricity: Demonstrates a robust focus on understanding and meeting the needs of internal and external stakeholders, ensuring data solutions deliver value and improve customer experiences.
- Cross-Functional Collaboration: Effectively collaborates with diverse teamsincluding business units, data engineers, and ITto align objectives, share knowledge, and drive successful project outcomes.
- Analytical & Strategic Mindset: Uses analytical thinking to interpret data requirements and develop strategic solutions that support organizational goals and long-term vision.
- Emotional Intelligence: Displays empathy, active listening, and outstanding interpersonal skills to foster positive working relationships and navigate complex stakeholder interactions.
- Resilience: Maintains composure and adaptability when facing difficulties or changing priorities, ensuring consistent progress on data initiatives.
- Growth Mindset: Continuously seeks opportunities to learn, improve, and innovate within data management practices, staying updated with industry trends and best practices.
Desired Skills and Abilities:
- Experience with enterprise-level data design and implementation projects.
- Performance tuning expertise across database and big data platforms.
- Effective problem-solving and analytical skills combined with business acumen.
- Knowledge of Azure cloud computing platform.
- Familiarity with the insurance business domain.
- Experience with reporting tools such as MicroStrategy and Power BI is a plus.
- Passion for data and working within a data-driven organization.
- Dedication to quality, security, and continuous improvement.
