Lead Data Architect - Data Lakes

Albano Systems Inc
Richmond, VA, United States
26 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Microsoft Azure Cloud Engineering Data Architecture Information Engineering Data Systems Data Warehousing Electronic Data Interchange (EDI) High-Level Architecture JSON Unstructured Data Data Lakes
+5 more
Data Delivery Api Design Data Pipelines Guidewire Databricks

Job description

The Lead Data Architect provides strategic and hands-on leadership across divisional data initiatives, guiding delivery teams in building scalable data solutions within a modern cloud-based data ecosystem. This role balances high-level architecture with practical execution, ensuring data solutions align with business needs, performance requirements, and long-term architecture goals., * As part of a data architecture organization, provide architectural guidance to two or three concurrent data delivery teams (typically 4 5 engineers per team) across data initiatives

  • Design and evolve data architecture across a Databricks-first lakehouse in a broader Azure ecosystem, understanding both target state and appropriate trade-offs
  • Partner with engineering teams to support their detailed solutions and implementation through design reviews, guidance, and targeted hands-on contribution where needed
  • Specify data solutions that meet non-functional requirements (NFRs) such as scalability, performance, and reliability
  • Perform technology evaluations in support of the teams, with appropriate recommendations and reasoning
  • Assess technical challenges and problems, provide options, and make recommendations
  • Guide ingestion and integration strategies, including API-based data exchange
  • Lead without direct reporting authority, influencing teams through expertise and collaboration

Requirements

  • ~7 10 years of progressive experience in data engineering, pipeline development, and data architecture roles developing Data Lakes and Data Warehouses
  • Background progressing from developer through at least team lead
  • Strong experience designing and working with the full lifecycle of data-centric architectures
  • Hands-on experience with cloud development in Databricks
  • Experience with structured and unstructured data (e.g., JSON, files, media)
  • Understanding of both relational and non-relational solutions
  • Understanding of APIs and data integration patterns
  • Strong communication and stakeholder influence skills (written + verbal)
  • Know when to make independent decisions and when to circle back to the broader team with appropriate questions
  • Work within a new domain by identifying gaps in knowledge and actively seeking answers

Preferred Qualifications

  • Experience with Guidewire Insurance Suite data
  • Azure Solutions Architect certification (nice-to-have)
  • Experience working in Property & Casualty insurance data domains
  • An understanding of London and international markets would be a plus

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