North America - Insurance - Sr. Solution Architect, Data Engineering

Alpha Financial Markets Consulting (Alpha FMC) is a leading global consultancy focused on the Insurance and InsurTech industries. They are seeking a Senior Solution Architect in Data Engineering to define and lead the delivery of data platforms and system integrations, while supporting clients in optimizing their operating models and implementing best practices in data engineering.

Responsibilities:

• Define and lead delivery of data platforms, end-to-end pipelines and system integrations, managing an implementation team of experienced developers and technical consultants
• Support in the definition and implementation of best practice data engineering and governance practices
• Translate business and technical requirements into solution designs, including definition of required work packages and resourcing
• Support our clients in improving and optimizing their operating models, including resource management, technology architecture and business process
• Use your knowledge of the vendor and tool landscape, both within our client’s technology stacks and the broader market to design appropriate solutions
• Define and socialize technical approaches for implementation, eg SDLC, data migration, integrations, influencing client teams to your best practice perspective
• Input to project definition, resourcing and timelines and objectives within a workstream or project
• Drive the documentation and development according to specifications and standards
• Present options and designs to business and technology stakeholders, articulating Alpha’s IP in business process design and technical delivery to clients at all levels
• Participate in project team meetings and communicate effectively with internal and client peers, architects, system analysts, business analysts, project managers, quality control, and across other technology team boundaries, reporting project status as required
• Support Alpha’s internal IP with proposition and accelerator development, including at least one area of specific expertise
• Take a lead in mentoring and coaching team members

Requirements:

• A Bachelors' degree in a related field and at least 5 years of experience in data engineering/architecture, including experience with transformational efforts; as well as some experience in the Insurance industry, especially P&C Insurance
• Experience managing data engineering projects using Agile or other methodologies
• Ability to lead cross-functional teams and manage stakeholder expectations
• Ability to design scalable and reliable data architectures
• Understanding of data lifecycle management and data quality frameworks
• Experience leading complex data modeling, ETL design (AWS Glue, Talend, Azure Data Factory), and using large databases in a business environment
• Strong understanding of data warehousing concepts and experience with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift
• Experience with deploying compute and orchestrating workloads directly in Azure or AWS, or platforms such as Databricks, including containerized services
• Experience with object-oriented programming (OOP) languages like Python, Ruby, Java, or similar languages
• Experience with microservices architecture and API management
• Previous experience working for a global consulting firm is preferred
• Experience with the following would as an advantage: Data handling with AI/ML: Python, R
• ETL: Databricks, Azure Data Factory
• Low Code platforms: MS PowerApps, Mendix, Outsystems
• CRM: Salesforce, MS Dynamics
• Workflow: Unqork, Appian, Boomi Flow