Key skills
Data engineering experienceData architecture designCloud data platformsAgile project managementData modelingETLData lifecycle managementObject-oriented programmingStakeholder managementPythonJavaRubyData EngineeringData WarehousingSnowflakeRedshiftDatabricksAWSAzureGlueAgileSDLC
About this role
Alpha FMC is seeking a Sr. Solutions Architect specializing in Data Engineering to lead the delivery of data platforms and system integrations. The role involves managing an implementation team, defining best practices in data engineering, and translating requirements into solution designs for clients.
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
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
- 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