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Data Engineering Lead, Vice President

Who we are looking for

Enterprise Data organization is recruiting a Data Governance Technical Lead to help drive technical implementation and management for the Collibra Data Intelligence platform implementation. Technical lead will collaborate with business unit data governance leads and solutions team to rollout the functional capabilities for the data governance platform.


We are looking for a Data engineer for Vendor SaaS Cloud application. The candidate should have industry experience (preferably in Financial Services) in supporting enterprise applications and exposure to Cloud based Data engineering platforms with deep understanding of data processing frameworks and solid experience with ETL development using distributed computing frameworks as Apache Spark, Hadoop, Hive. This hands-on role will partner with senior-level development managers, architects and business leadership to develop and execute the technology product roadmap.
 

What you will be responsible for

  •     End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.

  •     Build data integrations, hand-offs between on-prem/cloud-based systems.

  •     Design and develop high volume data ingestion components and solutions to collect data from various sources.

  •     Manage and use appropriate tools in the cloud data lake development and deployment.

  •     Responsible for developing/implementing cloud infrastructure to support current and future business needs.

  •     Participating in technial design, application build, configuration, unit testing, and production deployment.

  •     Ensuring all cloud solutions exhibit higher level of cost efficiency, performance, security, scalability, and reliability

  •     Management oversight of a global team of software development and QA engineers.

  •     Building strong partnership with technology & business leaders and peers

  •     Work closely with the Product Owner and others on requirements analysis, planning, project management, and execution.

What we value

These skills will help you succeed in this role

  • Development experience in designing, developing and deploying complex applications.

  • Strong skill-set, experience in PL/SQL, Java/J2EE, Python, Scala/PySpark, PERL/scripting .

  • Hands on experience with Cloud platforms, preferably using Databricks.

  • Experience in building systems using modern, scalable, resilient, cloud native architectures.

  • Experience in Data Modeling and database design with strong skills in performance tuning.

  • Hands on experience in setting up data pipelines for ELT jobs across multiple data sources.

  • Hands on experience in big-data processing, troubleshooting and resolving database performance issues.

  • Strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Polices, Security Groups and Encryption keys.

  • Experience with optimizing database performance, scalability, ensuring data security and compliance.

  • Experience with event based, micro-batch and batched high volume and high velocity transaction and data processing system.

  • Proficiency with CICD and DevOps.

Education & Preferred Qualifications

  • Bachelor’s/Master's Degree in a Computer Science, Engineering or Math or equivalent experience

  • 10+ years' experience in professional software design and development.

  • Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently

  • Proven ability to develop and work with cross functional processes and project timelines

  • Excellent follow-through, attention to detail and time management skills                                               

  • Adapt and excel at managing multiple simultaneous tasks in a high pressure, deadline environment.

Additional requirements

Are you the right candidate? Yes!

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

Why this role is important to us

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Salary Range:

$120,000 - $187,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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Average salary estimate

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$120000K
$187500K

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What You Should Know About Data Engineering Lead, Vice President, State Street

Are you ready to take the lead as a Data Engineering Lead at State Street in Boston, Massachusetts? We’re on the hunt for a seasoned professional who has a deep understanding of data governance—someone who is not just a doer but a visionary excited about implementing the Collibra Data Intelligence Platform. Your role will involve collaborating with business unit data governance leads to deliver functional capabilities with finesse. You'll be hands-on, designing and developing complex cloud data lakes and integrations, while ensuring that our solutions are cost-efficient, secure, and reliable. If you have a strong background in data processing frameworks such as Apache Spark or Hadoop, we want to hear from you! You’ll be managing a global team, partnering closely with business leaders, and advancing our technology product roadmap. At State Street, we value innovation and creativity alongside your technical skills, so if you thrive in a dynamic environment and are not afraid of a challenge, come join us and make an impactful contribution to our ongoing digital transformation!

Frequently Asked Questions (FAQs) for Data Engineering Lead, Vice President Role at State Street
What are the key responsibilities of a Data Engineering Lead at State Street?

As a Data Engineering Lead at State Street, your responsibilities include the end-to-end design and development of cloud data lakes, building data integrations, and ensuring the deployment of high-volume data ingestion systems. You’ll also partake in technical designs, application builds, and oversee a global team of software engineers. It’s a multi-faceted role that requires exceptional leadership and technical skills.

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What qualifications do I need to be a Data Engineering Lead at State Street?

To qualify for the Data Engineering Lead position at State Street, you should have a Bachelor’s or Master's degree in Computer Science, Engineering, or a related field. You’ll need 10+ years of professional software design and development experience, with a strong grasp of cloud platforms and tools. Skills in data modeling and ETL development, particularly using Apache Spark and Hadoop, are essential.

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What experience is preferred for the Data Engineering Lead role at State Street?

Preferred candidates for the Data Engineering Lead role at State Street would have a background in financial services, showcasing hands-on experience with data governance platforms and cloud-based data engineering solutions. Familiarity with modern, scalable architectures and cloud security practices is highly regarded.

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What technical skills are important for a Data Engineering Lead at State Street?

A successful Data Engineering Lead at State Street should possess strong skills in PL/SQL, Java/J2EE, Python, and Scala. Additionally, experience with cloud platforms, knowledge in database performance tuning, and familiarity with big data processing tools are critical for executing the responsibilities of the role efficiently.

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What type of environment can I expect as a Data Engineering Lead at State Street?

At State Street, you can expect a collaborative and innovative work environment. The company promotes a culture where technology skills are valued, and employees are encouraged to contribute to digital transformation initiatives. You’ll also find comprehensive benefits and development programs tailored to support your career growth.

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Common Interview Questions for Data Engineering Lead, Vice President
What experience do you have with cloud data architecture?

To answer this question effectively, detail your past experiences in designing and implementing cloud data architectures. Focus on specific projects where you optimized performance and ensured security, emphasizing how you handled data ingestion and integration across multiple platforms.

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How do you approach data governance in a large organization?

Discuss your understanding of data governance principles and how you’ve applied them in your previous roles. Highlight your ability to collaborate across teams and how you ensure data integrity and compliance throughout the data lifecycle.

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Can you describe a challenging technical problem you've solved?

Provide a detailed account of a specific technical challenge you faced in a previous role. Delve into the steps you took to analyze the problem, the solutions you implemented, and the positive outcomes that resulted from your efforts.

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What tools do you prefer for building data pipelines?

Mention specific tools that you have used, such as Apache Spark or Databricks, and explain why you prefer them. Discuss features that make these tools effective for data pipeline construction and how they contribute to efficiency and scalability.

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How do you ensure data security and compliance?

Talk about your knowledge of cloud security practices, such as IAM roles and policies, encryption measures, and proactive monitoring. Share examples of how you have implemented security protocols in previous positions to protect sensitive data.

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How do you manage team collaboration in a global setting?

Explain your strategies for fostering communication and collaboration among team members across different time zones. Highlight any tools or practices you’ve used that facilitate an inclusive working environment and maintain productivity.

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What is your experience with agile project management methodologies?

Discuss your familiarity with agile methodologies such as Scrum or Kanban. Provide examples of projects you’ve managed in an agile environment and how this approach helped the team meet goals efficiently.

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What techniques do you use for performance tuning in databases?

Share specific techniques you've utilized for performance tuning, such as indexing, query optimization, and analysing execution plans. Discuss the results of your efforts and how they improved system efficiency.

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Can you give an example of a successful data migration project you were involved in?

Outline a data migration project from start to finish, including planning, execution, and post-migration monitoring. Highlight the challenges faced and how you overcame them, along with the overall impact on the organization.

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How do you stay updated with the latest trends in data engineering?

Convey your commitment to continuous learning through various means such as attending conferences, participating in online webinars, and reading industry publications. Share recent trends that you find particularly relevant to your role.

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At State Street, inclusion and diversity are embedded in our values and culture. We know that an inclusive culture and a diverse workforce make us stronger and more successful. In a fast-paced and evolving world, we make it a priority to ensure ...

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Full-time, on-site
DATE POSTED
April 4, 2025

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