Northern Trust
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Pune · On-site · 5-8 Yrs · 3 days ago
Banking & Lending · 10000+ Employees · Chicago, US
For more than a century, Northern Trust has worked hard building our legacy of outstanding service, expertise and integrity. From a Chicago-based bank founded in 1889, we now have more than 20 international locations and over 16,500 employees globally. We serve the world’s most-sophisticated clients – from sovereign wealth funds and the wealthiest individuals and families, to the most-successful hedge funds and corporate brands
Hiring: Engineering
What employees say
+ Good work. Great exposure for freshers
− Poor compensation benefits and includes lgbtq
More reviews on the company profile.
Interview experience · Senior Lead Role
3 rounds of interview. 2 Technical and one Manager round. I got through first round.2nd round was tough as they asked very deep internals of core java and other architectural questions.
Average difficulty · Pune · 492 reports
More interview insightsJob description
Overview
Sr Lead - Cloud Data Engg About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.
Responsibilities
- Platform Engineering & Development Design, implement, and maintain cloud-native data platform infrastructure resources (e.g., AWS, Azure).
- Design and build GitHub terraform Pipeline for managing cloud data infrastructure resources and object management pipelines into the databases and SaaS product.
- Develop and optimize data pipelines patterns for ingestion, transformation, and processing of structured, semi-structured, and unstructured data.
- Build reusable frameworks and automation for data workflows, monitoring, and scaling.
- Ensure data storage and compute solutions are optimized for performance, security, and cost efficiency.
- Integrate cloud data services with enterprise applications, APIs, and third-party tools. Data Management & Governance Implement data quality, lineage, and cataloging solutions across the data platform. Enforce governance, security, and compliance standards (e.g., GDPR, HIPAA, SOC2).
- Work with architects and security teams to implement role-based access, encryption, and audit controls.
- Support metadata management, data discoverability, and enterprise-wide data democratization. Operations & Reliability Manage the operational health of the cloud data platform, including monitoring, alerting, and troubleshooting. Establish CI/CD pipelines for data services and platform components.
- Implement disaster recovery, backup, and failover strategies. Continuously optimize platform performance, cost, and scalability. Collaboration & Innovation Partner with data scientists, BI teams, and application developers to enable advanced analytics and AI/ML workloads. Evaluate emerging cloud data services and recommend adoption based on enterprise needs.
- Provide technical expertise in designing cloud-based data architectures and solutions. Mentor junior engineers and contribute to best practices in cloud engineering and data development. Qualifications Education & Experience: Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred). 8+ years of experience in data engineering, cloud engineering, or platform engineering with 13+ years of total
Qualifications
- in technology infrastructure. Hands-on
- experience with at least one major cloud provider (AWS or Azure). Strong
- experience with big data and data processing frameworks (e.g., Spark, Databricks, Flink). Proven expertise in building data pipelines with tools like Apache Airflow, dbt, Kafka, or similar. Skills & Competencies: In-depth knowledge and
- experience with Snowflake, Databricks, or similar cloud data platforms. Extensive knowledge and real hands-on experience on Github terraform pipelines and objects deployment management. Extensive knowledge and real hands-on experience of AI/ML data pipelines and feature engineering. Exposure to regulated environments (financial services, healthcare, etc.). Proficiency in terraform, SQL and one or more programming languages (Python, Java, or Scala). Deep
- understanding of cloud-native data services (e.g., AWS Redshift, Glue, S3, Athena; Azure Synapse, Data Factory; GCP BigQuery, Dataflow).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
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Last updated 11 October 2026
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