Aegon · 8 hours ago
Enterprise Solutions Architect - World Financial Group
Aegon is focused on enabling a data-driven digital business through modern architecture solutions. The Enterprise Solutions Architect will lead the design and development of data strategies and capabilities, collaborating with various teams to architect and support enterprise data infrastructure.
Asset ManagementAuto InsuranceFinanceHealth InsuranceInsuranceLife InsuranceRetirement
Responsibilities
Serve as a subject matter expert and lead development programs and projects
Work collaboratively with other architects, data scientists, analytics teams, and business product owners in an agile environment
Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools
Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data
Lead the development of data APIs and data delivery services to support critical operational processes, analytical models, and machine learning applications
Lead the selection and integration of data related tools, frameworks and applications required to expand our platform capabilities
Recommend and implement best practices for the management of enterprise data, including master data, reference data, metadata, data quality, and lineage
Learn and keep pace with the latest advances in the field and rapidly grasp new technologies to lead and support the environment and project deliverables
May manage/coach staff
Qualification
Required
Bachelor's degree in computer science, math, engineering, MIS, or equivalent experience
Six years of collective experience in the application of architecture, enterprise roadmaps, analytics, cloud, IT strategies, innovation, SAFE, TOGAF and data integration concepts and methodologies
Four years of experience architecting, building, and administering complex architectures and technologies, and real-time streaming analytics architectures in both on premises and cloud environments
Expertise using SQL for data profiling, analysis and extraction
Familiarity with data science techniques and frameworks
Three years of experience in the four following areas: (1) Architecting, building, and administering large-scale distributed applications (2) Linux operations and development, including CLI, basic commands and shell scripting (Powershell, Bash) (3) Architecting scalable containerized applications with container orchestration framework (4) Execution of DevOps methodologies and Continuous Integration/Continuous Delivery
Skilled in detailed-oriented delivery management; results oriented with a strong customer focus
Leadership capability to effectively communicate with all levels of management
Strong analytical skills and creative thinker
Attention to detail and results oriented, with a strong customer focus
Analytical and problem-solving skills
Technical communication skills
Prioritization skills to meet tight deadlines
The ability to work in a team environment
Preferred
Master's degree
Experience with advanced analytics and machine learning concepts and technology implementations
Experience with data analysis and using data visualization tools to describe data
Understanding of big data and real time streaming analytics processing architecture and ecosystems
Experience with Datalakes data warehousing architecture and implementation, including MPP, data streams, hands on experience with source to target mappings and developing ETL code
Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js, SQL)
Thorough Knowledge of open API Specification, REST, API designs, Security and implementation
Technology or platform certifications (e.g. AWS, Microsoft)
Benefits
Annual Bonus based on the Company Bonus Plan/Individual Performance
Company
Aegon
Aegon offers products and services in the life insurance, pension, retirement, and asset management fields.
Funding
Current Stage
Public CompanyTotal Funding
$760M2024-04-10Post Ipo Debt· $760M
1999-04-01IPO
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