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Lead Data Architect

2 months ago

Norwich, Norfolk, United Kingdom Baldwin Risk Partners Full time
Job Title: Lead Data Engineer

About the Role:

We are seeking an experienced Lead Data Engineer to join our team at Baldwin Risk Partners. As a key member of our data engineering team, you will be responsible for designing, building, and optimizing our data orchestration and data pipeline architecture.

Key Responsibilities:

  • Maintain and update our Data Engineering Architecture to ensure scalability and efficiency.
  • Design and implement ELT and ETL processes to support data initiatives.
  • Create and maintain optimal data orchestration architecture to support data initiatives.
  • Provide thought leadership to improve implementation approaches that drive increased velocity of delivery.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Identify, design, and implement internal process improvements to automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation, and ingestion of data from a wide variety of data sources using SQL, Azure Data Factory, Spark/Synapse technologies.
  • Support analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
  • Work with stakeholders, including the Executive, Product, Data, and Technology teams, to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members to assist them in executing and optimizing data projects.
  • Collaborate with colleagues to collect and structure data.

Requirements:

  • Bachelor's degree in a related field preferred, with equivalent years of experience considered.
  • At least seven to ten years of data-related or analytical work experience in a Data Engineer role, preferably three of those within the Azure ecosystem.
  • Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with a variety of data platforms.
  • Advanced understanding of and experience implementing data lakes, lake houses.
  • Advanced understanding and experience with file storage layer management in data lake environments, including parquet and delta file formats.
  • Solid experience with SPARK (PySpark) language and data processing techniques.
  • Solid understanding of and experience with AZURE SYNAPSE tools and services.
  • Some knowledge of Python preferred.
  • Strong analytic skills related to working with structured, semi-structured, and unstructured datasets and blob storage.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • A successful history of manipulating, processing, and extracting value from large disconnected datasets.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Insurance industry experience preferred.

Working Conditions:

This is a fast-paced, multi-tasking environment.