Database Administrator - Director - Data & Analytics Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Database Administration, Data Engineering, ETL, ELT, Data Security, AWS, Azure, Python, Java, Shell Scripting, Monitoring, Observability, Infrastructure-as-Code, Backup Automation, Schema Migration, Data Platforms

Industry

Financial Services

Description

1. Architect & Optimize Data Platforms o Design, develop, and maintain scalable, high-performance solutions for complex data pipelines, including ETL/ELT processes. o Implement pushdown optimization, partitioning, clustering, replication, and change data capture (CDC) strategies. 2. Build Self-Service & Automation Frameworks o Deliver secure, automated, and self-service database capabilities to accelerate data-driven teams while ensuring governance and reliability at scale. o Develop infrastructure-as-code solutions for database provisioning and lifecycle management. o Leverage deep understanding of the database architecture to employ innovative and fit-for-purpose methods to effectively anticipate and resolve emerging issues and complex technical challenges related to data provisioning and management. 3. Modernize Data Protection & Resiliency o Engineer backup/restore automation, schema migration tools, and high-performance data movement solutions across on-prem and cloud environments. o Implement observability and monitoring frameworks for proactive performance tuning. 4. Databases: DB2, SQL Server, PostgreSQL, Oracle, Sybase, Teradata, Snowflake, MongoDB Cloud Platforms: AWS (RDS, Aurora), Azure SQL Data Tools: Informatica, Talend Programming: Python, Java, Shell Version Control & CI/CD: Git, Jenkins, Azure DevOps Monitoring & Observability: Prometheus, Grafana Proven experience as a Database Engineer or DBA with multi-platform expertise. Strong knowledge of relational and non-relational databases and data security best practices. o AWS/Azure/GCP Data Platform o DB2 DBA, PostgreSQL Professional, SnowPro Advanced Administrator Proficiency in Python, Java, or Shell scripting for automation and tooling. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Internal Applicants Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here.

Responsibilities

The role involves architecting and optimizing data platforms, designing scalable solutions for complex data pipelines, and building self-service automation frameworks. Additionally, it includes modernizing data protection and resiliency through engineering backup automation and implementing monitoring frameworks.