Solution Architect-Data Engineer

4 weeks ago

Hyderabad, India Technogen Full time

Role: Solution Architect- Data

Exp : 13-18 yrs

Location: Hyderabad

Role & responsibilities

  • Bachelors or Masters degree in Computer Science, Information Systems, or related field.
  • 8+ years of experience in data architecture and engineering, with a strong focus on financial services.
  • Proven experience with lakehouse platforms and cloud-native data ecosystems
  • Strong understanding of wealth management and insurance data domains.
  • Hands-on experience with MDM platforms (e.g., Informatica MDM, Reltio, Semarchy).
  • Expertise in API design and enablement (REST, GraphQL, OpenAPI).
  • Proficiency in SQL, Python, and distributed data processing frameworks.
  • Familiarity with data governance tools (e.g., Collibra, Alation) and metadata management.
  • Familiarity with one or more industry standard data transmissions (DTCC, NFS, DST, etc.)
  • 2+ years of experience in sales & distribution related business processes and technologies, including at least one of the following sub-domains: Distribution Management, Incentive Management (compensation, recognition), Broker Dealer Administration, Insurance Distribution.
  • Skilled leading and/or participating in system design and architectural activities including technical requirement writing experience and ability to lead collaboration sessions for important design reviews and decisions.
  • Strong collaboration skills with the ability to work in a team-based environment including employees, vendors, and third-party contractors.
  • Excellent mentoring skills and the desire to contribute to efforts beyond the scope of the day-to-day project work.
  • Proven ability to provide technical leadership and guidance to less experienced team members.
  • Experience in AWS cloud application design, development, and deployment.
  • Experience with event streaming and web service protocols like SOAP, REST, JSON, or Kafka
  • Experience with data development, including database design, modeling, ETL and scheduling.
  • General working knowledge of insurance data, investment data and /or financial data
  • Experience in working with and enabling integrations with vendor / SaaS platforms

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