Lead, Data Engineer
Pune, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingArchitect cloud data warehouse and data lake solutions
Drive platform reliability, monitoring, observability, and governance
Optimize Snowflake workloads for performance and cost efficiency
From the employer’s posting
Architect and implement modern cloud data warehouse and data lake solutions.
Drive data platform reliability, operational excellence, monitoring, observability, and governance.
Optimize Snowflake workloads for performance, scalability, and cost efficiency.
What you’ll bring
All qualificationsCore experience
- Bachelor's or master's degree in computer science, Engineering, Information Systems, or related field.
- Experience working with Financial Services, Wealth Management, Asset Management, or Investment Analytics platforms.
- Experience with modern BI and Analytics platforms such as ThoughtSpot, Power BI, Cognos, Tableau, or similar technologies.
- Strong ownership mindset and ability to drive technical initiatives independently.
- 7+ years of experience in Data Engineering, Data Platform Engineering, or Data Warehousing.
- Familiarity with semantic modeling, dashboard development, self-service analytics, and reporting solutions.
Qualification wording
Bachelor's or master's degree in computer science, Engineering, Information Systems, or related field.
Experience working with Financial Services, Wealth Management, Asset Management, or Investment Analytics platforms.
Experience with modern BI and Analytics platforms such as ThoughtSpot, Power BI, Cognos, Tableau, or similar technologies.
Strong ownership mindset and ability to drive technical initiatives independently.
7+ years of experience in Data Engineering, Data Platform Engineering, or Data Warehousing.
Familiarity with semantic modeling, dashboard development, self-service analytics, and reporting solutions.
Education & alternatives
Required Qualifications Bachelor's or master's degree in computer science, Engineering, Information Systems, or related field. 7+ years of experience in Data Engineering, Data Platform Engineering, or Data Warehousing.
Tools in this posting
- Python
- SQL
- Azure
- Iceberg
- Power BI
- Snowflake
- Tableau
- Airflow
Source — Tool mentions in context
With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. We are seeking a highly skilled and hands-on Lead Data Engineer to design, build, and modernize enterprise-scale data platforms supporting analytics, reporting, and data-driven decision making. This role will lead the technical implementation of cloud-native data solutions using Snowflake, Azure, Python, and Astronomer/Airflow, while partnering with architects, product owners, analytics teams, and business stakeholders to deliver scalable, secure, and high-performing data products. This is a senior individual contributor role with significant influence on platform architecture, engineering standards, cloud modernization efforts, and data platform strategy.
Design, build, and optimize scalable enterprise data platforms using Snowflake and Microsoft Azure. Develop robust batch, micro-batch, and near real-time data pipelines using Python and Astronomer/Airflow. Architect and implement modern cloud data warehouse and data lake solutions.
5+ years of hands-on experience with Snowflake. Strong expertise in Python and advanced SQL development. Proven experience designing and implementing enterprise-scale data warehouses and analytical platforms.
Snowflake Python SQL
Python SQL Airflow / Astronomer
Key Responsibilities Design, build, and optimize scalable enterprise data platforms using Snowflake and Microsoft Azure. Develop robust batch, micro-batch, and near real-time data pipelines using Python and Astronomer/Airflow.
Optimize Snowflake workloads for performance, scalability, and cost efficiency. Build and deploy cloud-native solutions using: Azure AKS Azure Blob Storage Azure Data Lake Storage Azure DevOps CI/CD Design and support real-time and event-driven data processing architectures.
Strong experience with Airflow and/or Astronomer for orchestration and workflow management. Experience building cloud-native solutions on Microsoft Azure. Strong understanding of: Data Modeling Data Warehousing Concepts ELT/ETL Frameworks Distributed Systems Data GovernanceCI/CD and DevOps Practices
Airflow / Astronomer Azure Cloud Services Data Warehousing
Event-Driven Architectures Azure AKS Azure Blob Storage
Azure AKS Azure Blob Storage Azure Data Lake Storage
Azure Blob Storage Azure Data Lake Storage Azure DevOps
Azure Data Lake Storage Azure DevOps REST APIs and Data Integrations
SnowPro Advanced Architect Microsoft Azure Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Azure Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Azure Fundamentals (AZ-900) What You'll Bring
Design scalable ELT/ETL frameworks, reusable data ingestion patterns, and data transformation pipelines. Leverage advanced Snowflake capabilities including: Streams & Tasks Dynamic Tables Snowpark Iceberg Tables Secure Data Sharing Materialized Views Drive data platform reliability, operational excellence, monitoring, observability, and governance.
Dynamic Tables Iceberg Tables Data Sharing
Nice to Have Experience with modern BI and Analytics platforms such as ThoughtSpot, Power BI, Cognos, Tableau, or similar technologies. Familiarity with semantic modeling, dashboard development, self-service analytics, and reporting solutions.
Drive data platform reliability, operational excellence, monitoring, observability, and governance. Optimize Snowflake workloads for performance, scalability, and cost efficiency. Build and deploy cloud-native solutions using: Azure AKS Azure Blob Storage Azure Data Lake Storage Azure DevOps CI/CD
7+ years of experience in Data Engineering, Data Platform Engineering, or Data Warehousing. 5+ years of hands-on experience with Snowflake. Strong expertise in Python and advanced SQL development.
Required Snowflake Python
Preferred Certifications Snowflake SnowPro Core Certification
Proven experience designing and implementing enterprise-scale data warehouses and analytical platforms. Strong experience with Airflow and/or Astronomer for orchestration and workflow management. Experience building cloud-native solutions on Microsoft Azure.
About Northern Trust
Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 13 days ago
- Recorded sightings
- 44
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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.
Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.
With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.
We are seeking a highly skilled and hands-on Lead Data Engineer to design, build, and modernize enterprise-scale data platforms supporting analytics, reporting, and data-driven decision making. This role will lead the technical implementation of cloud-native data solutions using Snowflake, Azure, Python, and Astronomer/Airflow, while partnering with architects, product owners, analytics teams, and business stakeholders to deliver scalable, secure, and high-performing data products.
This is a senior individual contributor role with significant influence on platform architecture, engineering standards, cloud modernization efforts, and data platform strategy.
Key Responsibilities
Design, build, and optimize scalable enterprise data platforms using Snowflake and Microsoft Azure.
Develop robust batch, micro-batch, and near real-time data pipelines using Python and Astronomer/Airflow.
Architect and implement modern cloud data warehouse and data lake solutions.
Design scalable ELT/ETL frameworks, reusable data ingestion patterns, and data transformation pipelines.
Leverage advanced Snowflake capabilities including: Streams & Tasks Dynamic Tables Snowpark Iceberg Tables Secure Data Sharing Materialized Views
Drive data platform reliability, operational excellence, monitoring, observability, and governance.
Optimize Snowflake workloads for performance, scalability, and cost efficiency.
Build and deploy cloud-native solutions using: Azure AKS Azure Blob Storage Azure Data Lake Storage Azure DevOps CI/CD
Design and support real-time and event-driven data processing architectures.
Partner with analytics, reporting, and business teams to provide trusted, analytics-ready data assets.
Establish engineering best practices, coding standards, and architectural patterns.
Participate in solution design, technical reviews, and architecture governance activities.
Required Qualifications
Bachelor's or master's degree in computer science, Engineering, Information Systems, or related field.
7+ years of experience in Data Engineering, Data Platform Engineering, or Data Warehousing.
5+ years of hands-on experience with Snowflake.
Strong expertise in Python and advanced SQL development.
Proven experience designing and implementing enterprise-scale data warehouses and analytical platforms.
Strong experience with Airflow and/or Astronomer for orchestration and workflow management.
Experience building cloud-native solutions on Microsoft Azure.
Strong understanding of: Data Modeling Data Warehousing Concepts ELT/ETL Frameworks Distributed Systems Data GovernanceCI/CD and DevOps Practices
Excellent analytical, problem-solving, and communication skills.
Technical Skills
Required
Snowflake
Python
SQL
Airflow / Astronomer
Azure Cloud Services
Data Warehousing
Data Modeling
Data Lake Architectures
ELT / ETL Development
Git
CI/CD Pipelines
Desired
Snowpark
Streams & Tasks
Dynamic Tables
Iceberg Tables
Data Sharing
CDC Frameworks
Real-Time Data Processing
Event-Driven Architectures
Azure AKS
Azure Blob Storage
Azure Data Lake Storage
Azure DevOps
REST APIs and Data Integrations
Domain Expertise (Preferred)
Experience working with Financial Services, Wealth Management, Asset Management, or Investment Analytics platforms.
Familiarity with:
Portfolio Management Data
Holdings & Positions
Transactions & Tax Lots
Client Reporting
Performance Reporting
Financial Analytics
Investment Operations Data
Nice to Have
Experience with modern BI and Analytics platforms such as ThoughtSpot, Power BI, Cognos, Tableau, or similar technologies.
Familiarity with semantic modeling, dashboard development, self-service analytics, and reporting solutions.
Experience designing analytics-ready data models to support enterprise reporting and business intelligence workloads.
Understanding of search-driven analytics, AI-assisted analytics, and embedded analytics capabilities.
Experience supporting the migration and modernization of legacy BI platforms to cloud-native analytics ecosystems.
Exposure to data governance, lineage, metadata management, and data catalog solutions.
Preferred Certifications
Snowflake
SnowPro Core Certification
SnowPro Advanced Data Engineer
SnowPro Advanced Architect
Microsoft Azure
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Microsoft Certified: Azure Fundamentals (AZ-900)
What You'll Bring
Passion for building modern, scalable cloud data platforms.
Strong ownership mindset and ability to drive technical initiatives independently.
Deep technical expertise combined with practical problem-solving skills.
Ability to influence architecture and engineering decisions across teams.
Strong collaboration skills with engineers, architects, analysts, and business stakeholders.
Commitment to engineering excellence, reliability, and continuous improvement.t.
Working with Us
As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.
Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.
Reasonable Accommodation
Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.
About Our Pune Office
The Northern Trust Pune office, established in 2016, is now home to over 3,000 employees. The office handles various functions, including Operations for Asset Servicing and Wealth Management, as well as delivering critical technology solutions that support business operations across the globe.
Our Pune team takes our commitment to service to heart. In 2024, they volunteered more than 10,000+ hours into the communities where they live and work. Learn more.
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Pune, India
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