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
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full time