Database Engineer

sgs-job-5870

Engineering
 Massachusetts
SQL
ETL
Python GRC

Contract - 6 Months

Location - Boston, MA The role involves close collaboration with Business and Technical Platform Product Owner (mainly Resolver), RLM program team as well as key stakeholders across Client Digital and Data & Performance teams, Data Domains, and E2E Data Flow Architects

Job Responsibilities:

  • Define and maintain risk management data models, including functional entities and processes, across Resolver and associated applications.
  • Develop conceptual, logical, and physical data models.
  • Contribute to enterprise data cataloging and metadata management.
  • Ensure alignment with Client data standards and architecture principles.
  • Support implementation of data governance policies and standards.
  • Ensure compliance with security, privacy, and regulatory requirements.
  • Define and monitor data quality controls, KPIs, and remediation processes.
  • Support data ownership and stewardship practices.
  • Design and document data flows between Resolver, Optro, enterprise platforms, and Group data lakes.
  • Support API, ETL, and integration initiatives.
  • Collaborate with Client Digital teams to ensure sustainable and scalable integrations.
  • Participate in architecture reviews and accreditation activities.
  • Enable reporting, analytics, and AI use cases through high-quality data foundations.
  • Collaborate with business analysts, data engineers, and data scientists.
  • Support data availability for governance and risk performance dashboards.
  • Maintain architecture documentation, data lineage, metadata, and technical standards.
  • Document key design decisions and support architecture governance processes.
  • Identify opportunities to modernize data architecture and integration patterns.
  • Translate business needs into scalable technical solutions.
  • Work closely with Product Owners, Solution Architects, Data Domains, and business stakeholders.
  • Facilitate alignment between governance functions and technical teams.

Skills:

  • Data modeling (Conceptual, Logical, Physical)
  • SQL and relational databases
  • Data integration and ETL/ELT concepts (Informatica, Talend)
  • API-based integrations
  • Cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP)
  • Data governance and metadata management
  • SaaS platform integrations
  • Data catalog tools
  • Data lineage solutions
  • Power BI or Tableau
  • Knowledge of AI/GenAI data foundations
  • Risk Management, GRC, Audit, or Compliance platforms
  • Strong problem-solving and analytical mindset
  • Ability to translate or align business and data backend requirements
  • Ability to work in a complex, cross-functional global environment.
  • Effective communication and presentation skills.
  • Ability to manage ambiguity and evolving business requirements.
  • Strong collaboration and influencing skills.

Education/Experience:

  • 3 to 5 years of experience in Data Architecture, Data Engineering, Data Integration, or related disciplines.
  • Experience collaborating with both business and technical stakeholders.
  • Exposure to data governance, metadata management, or regulatory environments is a plus.
  • Experience working with enterprise data ecosystems and SaaS applications

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