Data Platforms role (mid-senior level)

The successful candidate will work closely with business and technical stakeholdersincluding data owners data stewards engineers analysts and visualization teamsto define data flows requirements catalogs dictionaries and lineage. This role combines deep technical expertise with architectural leadership and strategic problem-solving to deliver measurable business value through data and AI.

• Architect and deliver scalable enterprise-grade data platforms leveraging modern technologies such as Microsoft Fabric Azure Data Lake and Power BI.
  

• Lead end-to-end solution design across ingestion transformation storage and consumption layers.
  

• Define and enforce data modeling standards metadata management practices and lineage frameworks.
  

• Translate business requirements into technical architectures and guide engineering teams through implementation.
  

• Design and establish an Enterprise Data Agent Platform ensuring structured data access governance and permissions.
  

• Oversee the design and implementation of robust data pipelines for ingestion transformation and loading.
  

• Lead integration of diverse enterprise systems including ERP CRM and AI/ML platforms.
  

• Ensure data accuracy consistency and reliability across all data sources.
  

• Manage data migration integration cleansing and archiving initiatives.
  

• Develop and implement enterprise data governance frameworks standards and best practices.
  

• Ensure data quality security and regulatory compliance through validation monitoring encryption masking and access controls aligned with Cyber InfoSec and Compliance policies.
  

• Monitor and report on governance KPIs data quality metrics platform usage and value realization.
  

• Champion enterprise-wide data standardization and harmonization initiatives.
  

• Evaluate and integrate emerging AI technologies to enhance business outcomes.
  

• Enable AI/ML solutions through well-governed high-quality data platforms.
  

• Stay current with industry trends and continuously evolve platform capabilities.
  

• Lead mentor and develop a team of data architects engineers and analysts.
  

• Foster a culture of innovation continuous learning and cross-functional collaboration.
  

• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
  

• Bachelors or Masters degree in Computer Science Information Systems Data Engineering or a related field.
  

• 12 years of progressive experience in data architecture data management data modeling and analytics preferably within investment or asset management environments.
  

• 5 years of experience designing and managing enterprise data platforms (cloud data lakes warehouses and marts).
  

• Proven experience leading technical teams and delivering complex large-scale data programs.
  

• Advanced proficiency in SQL Python and data modeling methodologies (3NF Dimensional Data Vault).
  

• Hands-on experience with Microsoft Fabric Azure Data Lake and Power BI.
  

• Strong expertise in architect scalable data solutions integrating multiple enterprise systems.
  

• Experience with enterprise application design development and support.
  

• Familiarity with Azure cloud services data orchestration and metadata management tools.
  

• Experience enabling and operationalizing AI/ML solutions within enterprise data platforms.
  

• Expertise in developing AI agents leveraging structured data.
  

• Deep understanding of data governance data cataloging and regulatory compliance (e.g. GDPR CCPA).
  

• Proven ability to enforce data quality security standardization and harmonization across platforms.