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.
Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
Senior Data Engineer at Intent HQ designing and scaling data platforms. Building high - impact intelligence from millions of customer insights with a focus on performance and reliability.
SAP Data Engineer supporting MERKUR GROUP's evolution into a data - driven company. Responsible for data integration, modeling, and collaboration with various departments in Group Finance.
Data Engineer at Booz Allen Hamilton organizing data and developing advanced technology solutions. Leading data engineering activities for mission - driven projects and mentoring multidisciplinary teams.
Senior Data Engineer at Bristol Myers Squibb developing scalable data pipelines for foundational products. Collaborating with data scientists and IT professionals to ensure data quality and accessibility.
Data Engineer II role focusing on developing and maintaining data pipelines for analytics. Collaborating with Data Science and Analytics teams to ensure data quality and reliability.
Lead Data Engineer responsible for building and maintaining the central HR data lake. Collaborating with analysts and business stakeholders for data - driven decision making.