Data Architect

Responsibilities: Collaborate with teams of experienced actuaries, data analysts, architects, data engineers, and business experts to deliver projects.
Design and implement scalable data architectures that align with business objectives, including data models, metadata management, and database schemas.
Lead the selection of suitable technologies for data storage, integration, and analytics.
Establish data governance policies to ensure data quality, security, and compliance.
Perform data analysis to troubleshoot and resolve data-related issues.
Implement data warehouse and lake house solutions to support data and analytics initiatives.
Assist in the support and enhancement of existing data pipelines and databases and troubleshoot performance issues.
Participate in database design and modeling.
Provide technical leadership and guidance to the data engineering team in implementing architectural designs.
Work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions.
Stay current with industry trends and emerging technologies to drive continuous improvement in data architecture strategies and best practices.
Requirements: 8+ years of total experience working with data integration teams.
5+ years of experience in data architecture, database design, and data management.
3+ years of working experience in Databricks.
4+ years of in-depth experience developing data pipelines within an Apache Spark environment (preferably Databricks).
Good proficiency in Python and SQL.
Strong knowledge of data modeling, database technologies, and data warehousing.
Experience with ETL/ELT processes and tools.
Knowledge of cloud platforms (AWS or Azure) and big data technologies (Hadoop, Spark, etc.).
Understanding of data governance, security, and privacy frameworks.
Experience with BI and analytics tools like Power BI or Tableau.
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Nice to haves: ExperienceExperience integrating AI into data engineering.
Certifications in Databricks, cloud computing, or database management.
Experience developing data solutions using native IaaS and PaaS solutions on AWS (RDS, S3).
Experience in any object-oriented programming language.
How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce.
Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon.
Furthermore, all colleagues enjoy two Global Wellbeing Days each year, encouraging you to take time to focus on yourself.
We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work...
and we are all for it.
We call this Smart Working! Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential.
As a result, at Aon, you are more connected, more relevant, and more valued.
Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves.
Aon is proud to be an equal opportunity workplace.
Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.
We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard.