Azure Data Engineering Lead, Vice President

Who We Are Looking For

As a Data Engineer Lead, you will be responsible for developing, maintaining, and optimizing data pipelines and systems that support the acquisition, storage, transformation, and analysis of large volumes of data.
You will collaborate with cross-functional teams, including analysts, software engineers, and operations teams to ensure the availability, reliability, and integrity of data for various business needs.
This role requires strong technical expertise in data engineering principles, database management, and programming skills.

We are looking for candidates with good knowledge of Big Data technology and strong development experience with Databricks and Snowflake.
You will help to migrate existing on-prem applications to cloud (Azure preferred), create and maintain new data applications relying on experience and judgment to plan and accomplish goals, while working with other globally situated team members.

What You Will Be Responsible For

As Data Engineer Lead you will

Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes, Databricks Delta Lake, and Snowflake.
Ensure data quality and integrity throughout the process.
Implement efficient ELT/ETL processes to ensure data quality, consistency, and reliability.
Develop transformation processes to clean, aggregate, and enrich raw data, ensuring it is in the appropriate format for downstream analysis and consumption.
Integrate data from diverse sources to provide a unified view of information.
Design and implement efficient data models and database schemas that support the storage and retrieval of structured and unstructured data.
Optimize data storage and access for performance and scalability.
Implement knowledge of modern data processing principles to streamline data import/transformation processes.
Leverage modern data pipeline tools to reduce human attention during ETL processes.
Ensure the efficiency and reliability of data ingestion and processing.
Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
Monitor data pipelines, troubleshoot issues, and ensure data integrity and security.
Implement data quality controls and validation processes to identify and rectify data anomalies, inconsistencies, and errors.
Collaborate with stakeholders to define and enforce data governance standards and policies.
Identify performance bottlenecks in data pipelines and database systems and optimize queries, data structures, and infrastructure configurations to improve overall system performance and scalability.
Implement appropriate security measures to protect sensitive data and ensure compliance with data privacy regulations.
Monitor and address data security vulnerabilities and risks.
Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver effective data solutions.
Document data engineering processes, data flows, and system configurations.
Stay updated with the latest trends, tools, and technologies in the field of data engineering.
Proactively identify opportunities to improve data engineering practices and contribute to the evolution of data infrastructure.
Provide support to the development team with managing multiple instances of databases and servers, implementing complex queries with proper tuning, provide input to design impacting data, manage data infrastructure in Azure (DataLake, DataWarehouse, and Synapse).
What We Value

These skills will help you succeed in this role.

Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc.
Strong experience in data engineering, including data pipeline development, ETL/ELT processes, and data modeling.
Strong proficiency in SQL and experience with programming languages such as Scala or Java.
In-depth knowledge of SQL and experience with relational and non-relational databases such as Snowflake, SQL Server, Oracle.
A deep understanding of CI/CD tools and a strong desire to help teams release frequently to production with a focus on creating reliable high-quality results.
Experience with globally distributed log & event processing systems with data mesh and data federation as the architectural core is highly desirable.
Experience designing and building data warehouse, data lake, or lake house using batch, streaming, lambda, and data mesh solutions and with improving efficiency, scalability, and stability of the system.
Knowledge of DBT, Airflow, Ansible, Terraform, Argo, Helm, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect is a plus.
Expertise with either AWS, Azure, and Services/Tooling such as or like: Terraform, Packer, Docker, Kubernetes, Helm, Prometheus, Grafana, Fluent Bit, Istio (Service Mesh).
Strong background integrating continuous delivery (CD) with Kubernetes using tools such as Argo, GitLab, Spinnaker and strong Git experience, development methodologies, trunk-based development vs. git flow, Helm, etc.
Clear understanding of Storage, Compute & Data services offered by cloud providers.
Clear understanding of cloud networking model and network security.
Understanding of load balancer, Firewall, DNS, on-prem/cloud connectivity including IP, Subnet, TCP/IP, load balancing, etc.
Understanding of Cloud architecture pillars – Security, Reliability, Cost Optimization, Performance, Operations, etc.
Education & Preferred Qualifications

Bachelor's Degree level qualification in a computer or IT related subject.
10+ years of overall IT industry experience.
8+ years of overall Big Data data pipeline experience.
8+ years of experience as a Data Engineer, with a focus on designing and implementing data solutions on Azure Databricks.
8+ years of experience on cloud-based development including Azure Services, Azure DevOps, Kubernetes, Docker.
8+ years of experience on Java.
Experience on Spark, Snowflake is a plus.
Additional Requirements

Certification on Azure and AWS.
Familiarity with SDLC and Agile methodologies.
Ability to multi-task, meet aggressive timelines, and have strong work ethics.
Experience of working in the financial industry.
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 fulfill 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.

State Street's Speak Up Line

Job ID: R #J-18808-Ljbffr