Job Description
We are a global law firm with a powerful strategic focus and real momentum. Our industry-focused strategy is seeing us take on pioneering work in places that others have yet to reach. Our shared values define our culture and our workplace. You will find us to be unusually collegial, team-oriented, and ready to innovate. We work seamlessly across practices, offices and around the world. This elimination of boundaries has allowed us to evolve into a law firm that works as hard for its culture as it does for its clients.
The senior data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.

Responsibilities include but are not limited to:

• Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems
• Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance
• Integrates data from different sources, including databases, data warehouses, APIs, and external systems
• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
• Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
• Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency
• Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
• Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
• Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance
• Works with board members and other executives to establish the vision for managing data as a business asset
• Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making

Job requirements and skills

• A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field.
• At least six years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks
• Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake)
• Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines
• Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI
• Strong ability in programming languages such as Java, Python, and C/C++
• Ability in data science languages/tools such as SQL, R, SAS, or Excel
• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks)
• Proficiency in the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks)
• Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
• Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products
• Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems
• Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
• Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options
• Ability to translate among the languages used by executive, business, IT, and quant stakeholders.

Norton Rose Fulbright US LLP is committed to providing employees with a comprehensive and competitive benefits package that supports you, your health, and your family. Benefit packages include access to three medical plans, dental, vision, life, and disability insurance. Employees can also access pre-tax benefits such as health savings and flexible spending accounts. Norton Rose Fulbright helps provide financial security by allowing employees to participate in a 401(k) savings plan and profit-sharing plans if eligible. Full- time employees are eligible to access fertility benefits designed to support fertility and family-forming journeys.
In addition to the Firm’s health and welfare benefits above, we offer a competitive paid time off plan, which provides a minimum of 20 days off based on your role and tenure with the firm. The firm offers a generous paid parental leave benefit allowing parents to take a minimum of 14 weeks of paid leave to bond with your newborn, or adopted child(ren). Employees are also entitled to 11 Firm holidays.
Norton Rose Fulbright US LLP is an Equal Opportunity Employer and complies with all applicable federal laws and their implementing regulations that require the collection and recording of certain data and information. The information we receive will not be used to make any decision regarding employment and will be kept separate from your application. Similarly, self-identification information is kept confidential and used only in accordance with applicable federal laws and regulations. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Norton Rose Fulbright is committed to providing reasonable accommodation as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or accommodation to complete your application, please contact
us.hr@nortonrosefulbright.com
. Please provide your contact information and a description of your accessibility issue. We will make a determination on your request for reasonable accommodation on a case-by-case basis.
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Equal Employment Opportunit

• Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems
• Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance
• Integrates data from different sources, including databases, data warehouses, APIs, and external systems
• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
• Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
• Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency
• Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
• Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
• Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance
• Works with board members and other executives to establish the vision for managing data as a business asset
• Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision makin