Solution Architect-Data Engineer

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