Senior ML Data Engineer working on data pipeline curation for Mobileye's autonomous vehicle dataset. Collaborating across teams to enhance ML engineering and vision model applications.
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
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Engineer managing customer datasets to enhance industrial research and development. Responsible for ETL pipelines and data ingestion for the Uncountable Web Platform.
Data Engineer designing and maintaining scalable data solutions on Databricks for clinical trials. Collaborating with teams to overcome data challenges and ensure the smooth logistics of clinical supplies.
Senior Manager leading a team of database engineers to manage CCC's data platform. Overseeing mission - critical applications and collaborating with cross - functional teams in a hybrid environment.
As a Principal Data Architect at Solstice, lead the design and implementation of data architecture solutions. Ensure data integrity, security, and accessibility to meet strategic organizational goals.
Data Platform Specialist overseeing data workflows and enhancing data quality for Stackgini's AI - driven IT solutions. Collaborating with teams to drive improvements and stakeholder support.
Data Engineer designing data pipelines in Python for a major railway industry client. Collaborate with Data Scientists and ensure code quality with agile methodologies.
Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
Senior Data Engineer developing scalable data solutions on Databricks for analytics and operational workloads. Collaborating with cross - functional teams to modernize the data ecosystem.
Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.