Hybrid Senior Data Architecture Specialist

Posted 22 hours ago

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About the role

  • Senior Data Architecture Specialist designing and maintaining data integration solutions for Morgan Stanley. Involved in building data architecture and optimizing data storage using various technologies.

Responsibilities

  • Develop conceptual, logical, and physical data models and design enterprise data architecture, including data warehouses, data lakes, and integration pipelines (ETL/ELT)
  • Translate complex business requirements into technical data strategies, aligning data infrastructure with organizational goals
  • Establish data governance frameworks, define data standards, and implement security measures to ensure compliance
  • Select appropriate database technologies (SQL, NoSQL, Cloud platforms like Snowflake, AWS) and optimize data storage, retrieval, and processing
  • Stay current with emerging data technologies and trends to continuously improve the data ecosystem
  • Onboard firm standard ETL & AI tools working with SMEs
  • Design and support strategic reporting tools end-to-end such as Power BI, Tableau
  • Lead Integration solution between SaaS applications and Morgan Stanley
  • Represent the technology team at the fleet ceremonies, such as Incremental Business Reviews
  • Drive continuous improvement across delivery and client success functions
  • Collaborate closely with technical leads and functional analysts to develop and enhance data pipelines while driving continuous improvement of integrations

Requirements

  • 10+ years of experience working as a hands-on developer in databases such as Python, Postgres, DB2, shell scripting (i.e., Bash or KSH) and ETL technologies
  • Worked extensively on data integration, designing, and developing reusable interfaces
  • Worked extensively on Python libraries such as Pandas, PySpark
  • Proven experience leading large, complex client engagements, technology, or transformation initiatives
  • Strong understanding of Agile frameworks and principles
  • Exceptional stakeholder management and communication skills, with an ability to influence at the executive level
  • Demonstrated experience designing and executing enablement or transformation programs
  • Strong analytical and strategic thinking abilities
  • Working knowledge of AI-driven insights or automation to support smarter decision-making and delivery optimization
  • Previous experience with Source to Pay toolset is a plus.

Benefits

  • Comprehensive employee benefits and perks
  • Professional development opportunities
  • Flexible work arrangements

Job title

Senior Data Architecture Specialist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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