Highlights
Deep expertise in data modeling and architecture design, with hands-on proficiency in a combination of languages and tools including but not limited to SQL, C#, Kusto, Cosmos, Microsoft Visual Studio, Azure Synapse Analytics, and Snowflake (or similar). A successful candidate will have a strong sense of problem solving, teamwork, accountability, and the ability to understand business functions and requirements, translating them into scalable, well-governed data architecture while navigating competing priority tradeoffs.
Numbers & Facts
| Location | Redmond, Washington |
| Industry | Telecommunications Services |
| Company Size | 5,000 to 9,999 employees |
| Year Founded | 1996 |
| Website | http://www.lionbridge.com/ |
Description
Senior Data Architect
As Senior Data Architect, you will be responsible for defining and driving the data architecture strategy behind our products, from inception to launch. A successful candidate will have a strong sense of problem solving, teamwork, accountability, and the ability to understand business functions and requirements, translating them into scalable, well-governed data architecture while navigating competing priority tradeoffs.
What You Will Do:
To Be Successful, You Will Have:
In Return, You Can Expect:
As Senior Data Architect, you will be responsible for defining and driving the data architecture strategy behind our products, from inception to launch. A successful candidate will have a strong sense of problem solving, teamwork, accountability, and the ability to understand business functions and requirements, translating them into scalable, well-governed data architecture while navigating competing priority tradeoffs.
What You Will Do:
- Lead architecture initiatives independently and deliver positive impacts throughout the organization.
- Apply in-depth knowledge of the business to design enterprise-level data models and translate business requirements into architectural standards and design specifications governing the flow and storage of data across multiple systems.
- Evaluate and select data platforms, tools, and technologies that best support scalability, performance, and long-term maintainability across the organization.
- Define and document data architecture standards, best practices, and design patterns for engineering teams to follow.
- Partner with data engineers to guide the implementation of data pipelines, ensuring designs support accuracy, validity, and reliability of data at scale.
- Identify opportunities to optimize data tools and architecture used to transform, manage, and access data sources across the organization.
- Establish frameworks for performance monitoring and data quality across multiple systems and pipelines.
- Perform root cause analysis on systemic or recurring architectural issues and design advanced, scalable solutions to prevent future points of failure.
- Own the data governance strategy and work with designated privacy teams to ensure that data modeling and handling procedures are compliant with laws and policies.
- Prepare accurate, easy-to-follow architectural documentation and design specifications.
- Build trust and respect with stakeholders and engineering teams across the organization.
- Mentor engineers and analysts on data modeling and architecture best practices.
- Contribute to a culture of innovation and technical excellence.
To Be Successful, You Will Have:
- BA/BS in Engineering, Computer Science, Statistics, Mathematics, Data Science, or related quantitative discipline (Master's preferred).
- 6+ years of experience in data architecture, data engineering, or a related field, with a track record of designing data systems at scale.
- Deep expertise in data modeling and architecture design, with hands-on proficiency in a combination of languages and tools including but not limited to SQL, C#, Kusto, Cosmos, Microsoft Visual Studio, Azure Synapse Analytics, and Snowflake (or similar).
- Proven experience designing and governing data architecture across multiple systems or teams, not just within a single project.
- Proficiency in navigating GIT in the work environment.
- Excellent verbal and written communication skills, with the ability to influence technical and non-technical stakeholders.
- Self-driven, meticulous, and curious in nature.
- Ability to prioritize in a complex and fast-paced environment.
- Excellent attention to detail with desire to learn and master new technologies.
In Return, You Can Expect:
- The opportunity to define and shape data architecture strategy for a growing global gaming division.
- A high-impact, cross-functional role working closely with engineering, product, and leadership teams.
- Competitive compensation and benefits package.
- Flexible/hybrid work arrangements.
- Ongoing opportunities for professional development and growth within a global organization.
- The chance to mentor and influence best practices across data engineering and analytics teams.
- The satisfaction of building the data foundation that powers safer, cutting-edge gaming experiences worldwide.
About Company
Lionbridge enables more than 800 world-leading brands to increase international market share, speed adoption of products and effectively engage their customers in local markets worldwide. Using our innovative cloud technology platforms and our global crowd of more than 100,000 professional cloud workers, we provide translation, digital marketing, global content management and application testing solutions that ensure global brand consistency, local relevancy and technical usability across all touch points of the customer lifecycle. Based in Waltham, MA, USA, Lionbridge maintains solution centers in 28 countries.
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