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Aegon · 9 hours ago

Lead Solutions Architect

United States

Full-time

Hybrid

Senior Level, Lead/Staff

$130K/yr - $165K/yr

5+ years exp

Aegon is seeking a Lead Solutions Architect responsible for designing and supporting systems essential for an agile digital enterprise. This role involves guiding the architecture and design of technologies, contributing to web and data strategies, and providing technical leadership in a collaborative environment.

Asset ManagementAuto InsuranceFinanceHealth InsuranceInsuranceLife InsuranceRetirement

No H1B

Responsibilities

Define, document, and deliver current states, target states, and initiative-based architectures to drive modernization of digital experience, correspondence, connectivity, exchange services, and shared data platforms

Work collaboratively with other architects, software engineers, and business product owners in an agile environment

Actively contribute to the engineering community as advocate of firmwide frameworks, tools, and practices of the software development lifecycle

Recommend 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

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

Learn and keep pace with the latest advances in the field; rapidly grasp new technologies to support the environment and contribute to project deliverables

Act as lead and mentor on technical components of strategic projects

Qualification

Architecture designCloud technologiesData integrationDevOps methodologiesSQLLinux operationsContainer orchestrationProgramming languagesData warehousingAnalytical skillsTechnical communicationProblem-solving skillsTeamworkAttention to detail

Required

Bachelor's degree in computer science, math, engineering, MIS, or equivalent experience

Five years of collective experience in the application of architecture, enterprise roadmaps, analytics, cloud, IT strategies, innovation, SAFE, TOGAF and data integration concepts and methodologies

Well versed in defining, recommending, promoting, and enforcing program and project solutions Expertise using SQL for data profiling, analysis, and extraction

Three years of experience in the five following areas: (1) Architecting, building and administering complex architectures and technologies, and real-time streaming analytics architectures in both on premises and cloud environments (2) Architecting, building and administering large-scale distributed applications (3) Linux operations and development, including CLI, basic commands and shell scripting (Powershell, Bash) (4) Architecting scalable containerized applications with container orchestration framework (5) Execution of DevOps methodologies and Continuous Integration/Continuous Delivery

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

Leadership capability to effectively communicate with all levels of management

Software development experience in relevant programming languages (i.e. Spark, Java, Python, Scala, Node.js, SQL)

Thorough Knowledge of open API Specification, REST, API designs, Security and implementation

Experience in digital experience technologies (Drupal CMS) in complex enterprise and multisite environments utilizing hosting platforms such as Acquia Cloud Next, and supporting tools and frameworks (PHP and object-oriented programming, Single-Directory Components, Angular, HTML, CSS, JavaScript, React.js, Node.js, bitbucket)

Experience with DataLakes and data warehousing architecture and implementation, including MPP, data streams, hands on experience with source to target mappings and developing ETL code

Technology or platform certifications (e.g. AWS, Microsoft)

Experience with advanced analytics and machine learning concepts and technology implementations

Understanding of big data and real time streaming analytics processing architecture and ecosystems