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Northern Trust Operating Services

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4.0

based on 1.1k Reviews

53 Northern Trust Operating Services Jobs

Senior Lead, Software Engineering

Northern Trust Corp.

4.0

based on 1.1k Reviews

3-5 years

Pune

1 vacancy

Senior Lead, Software Engineering

Northern Trust Operating Services

posted 4d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python Clinical Data Management Javascript Informatica Datastage

+ 3 more

Job Description

Technologist with Data Product mindset eager to extend strategic data platform build.
Evangelize data strategy among stakeholders such as business users, CDO office and various teams through conceptual design, documentation, review and cross team negotiations to support strategic business goals
Lead the architecture and governance led design for building Operational Data Store, Data Hubs, Data Marts, and Analytics to meet business needs.
Expertise in designing data solution on Snowflake cloud data warehouse and Azure Databricks.
Must have experience in democratizing the data for self service
Liaison with several Chicago-based teams on projects, strategic data architecture goals, data requirements, and troubleshooting
Establish performance benchmarks and enable periodic validation
Implement governance and help build the solutions using inhouse platform or vended solutions for lineage , data triage and data quality
Help the Functional lead in building strong team/technical competencies.
Be a mentor and groom the next gen tech leads
Influencing the teams through knowledge and data and help build their knowledge on end to end solution considerations using domain driven design and other modern engineering practices.
Ensures adherence to organizational policies, guidelines and processes
Collaborate and contribute to enterprise data mesh and contribute to enterprise architecture standards
Follow and refine the architecture review board practices

Skills/ Experience

Demonstrated leadership and cross functional collaboration experience
- Excellent communication skills
- Strong architecture and conceptual, Logical and physical modelling skills
- Strong hands on experience on public and private clouds
- Strong hands on databricks knowledge and implementation patterns
- Good understanding in vault modelling , dimensional modelling and operational modelling
- Evident experience on RBDMS like Oracle , Sql Server and Cloud databases like ADLS, Snowflake and Redshift etc.
- Ability to work under pressure and to prioritise tasks
- Ability to drive the data driven story through conceptual models
- Strong data analytical skills
- Experience in various modelling techniques
- Should have experience in machine learning models
- Experience in python or equivalent scripting language
- Encryption and decryption techniques for on prem and on cloud to manage PII data encryption
- Data creation using data generators or using data generation techniques for areas where new data needs to be created for development
- Methods of data distribution, visualization and self-service driven Data management
Investment management or Wealth Management experience recommended.
Knowledge of applying agile methodologies (Kanban, Iterative Waterfall, hybrid-Agile) and experience handling teams with different maturity of agile practices.
Excellent consultative and communication skills, and the ability to work effectively with client, partner, and IT management and staff.
Thoroughly understands decision process issues of technology choice, such as capacities, response time, data interfacing, client server communication, industry standard technologies and new industry trends, etc.
Bachelor s degree in Computer Science or an equivalent.
Minimum 15 years of overall experience, with at least 10 years in data ingestion, governance and modelling
Expert level understanding of relational database concepts, dimensional database concepts and data architecture.
Experience in performance recommendations for data distribution and consumption
Experience with Azure cloud services to provide technology solution to business problems.
Past data analytics (AI/ML/GenAI) experience a big plus.

Recommended Skills

Technical experience with various Data Management development tools, utilities, and frameworks such as Meta data driven frameworks , ODI, IBM DataStage, Informatica, Oracle , PL/SQL, Meta data management, and Master Data concepts. Additional application development utilizes Java Spring Frameworks, server-side JavaScript, and NoSQL data utilities
Interpret business requirement and functional requirements to guide developers and/or testers in their job duties
Ability to guide and direct resources performing complex data analysis across two or more separate databases. Provide guidance on giving presentation of summary of analysis.
Upto date with emerging trends in technology such as Public/Private Cloud Technologies as it relates to Data Management, PII management, Financial Services Regulations.
Ability to build read data models and explain data Entity-Relationships to ETL developers and middle ware developers.
Ability to show the technical functionality to business using conceptual models to track all the flows for both functional and nonfunctional requirements

Employment Type: Full Time, Permanent

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