Baker McKenzie
From Baker McKenzie's careers page
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Design and maintain enterprise data and analytics architectures supporting the organization’s analytical data platform.
Develop data models and solution architectures that translate business and technology requirements into scalable technical solutions.
Define and promote dimensional modelling standards and practices across enterprise data initiatives.
Design solutions based on Medallion Architecture principles, including the organization and movement of data across the different platform layers.
Design the structure of data systems, including databases, data warehouses, data lakes, lakehouses, and enterprise data products.
Translate requirements from the Chief Data Office, product owners, and technology teams into technical architecture and data models.
Work closely with data engineering teams to design ingestion patterns and ensure data is correctly integrated into the Medallion Architecture.
Establish and manage data-product design principles, ensuring data assets are trusted, reusable, scalable, and aligned with organizational objectives.
Define data schemas, metadata requirements, storage approaches, access controls, and data-quality standards.
Guide architectural decisions relating to data integration, data transformation, security, performance, and scalability.
Define long-term technology strategies and roadmaps across data engineering, analytics, and data platforms.
Lead or participate in architecture reviews, technical governance forums, and quality-assurance activities.
Simplify existing data and analytics architecture by identifying reusable patterns, shared services, and opportunities for optimization.
Collaborate with data engineers, data-quality specialists, product owners, analysts, and other IT stakeholders.
Evaluate and recommend emerging technologies for data management, storage, analytics, artificial intelligence, and machine learning.
Create and maintain architectural documentation, standards, principles, and solution designs.
Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline.
Approximately two to five years of relevant experience in data architecture, data modelling, solution architecture, or related data disciplines.
Demonstrated experience designing data models for enterprise data warehouse, data lake, lakehouse, or analytical data platform initiatives.
Strong knowledge of dimensional modelling concepts and techniques.
Strong understanding of Medallion Architecture and its application within modern analytical data platforms.
Experience designing technical solutions for data integration, transformation, storage, and enterprise analytics.
Experience working with a major data platform, such as Databricks, Snowflake, Amazon Redshift, or a comparable technology.
Experience translating business and technology requirements into logical and physical data models and technical architecture.
Understanding of entity-relationship modelling, metadata management, data quality, and data governance principles.
Experience designing ingestion patterns and collaborating with data engineering teams to implement data solutions.
Knowledge of ETL or ELT processes, data warehousing, data lakes, lakehouses, and business intelligence technologies.
Strong SQL knowledge and the ability to understand data transformations and technical implementation requirements.
Ability to assess architectural options and make recommendations based on business needs, technical requirements, and strategic objectives.
Strong analytical, problem-solving, and strategic-thinking skills.
Ability to communicate complex architectural concepts clearly to stakeholders with different levels of technical knowledge.
Ability to collaborate effectively across complex, cross-functional, and globally distributed teams.
Strong written and verbal communication skills in English.
Flexibility to attend occasional meetings outside standard local working hours to collaborate with global colleagues.
Hands-on experience with Microsoft Fabric.
T-SQL experience.
Familiarity with data governance practices and frameworks.
Experience with Databricks, PySpark, Power BI, or Tableau.
Experience working with real-time data integration or distribution technologies.
Knowledge of artificial intelligence and machine learning architectures and workloads.
Experience developing reusable enterprise data products and shared architectural patterns.
Baker McKenzie empowers clients to compete in the global economy. We provide comprehensive and practical legal advice that cuts through complexity with clear, actionable guidance. Our people represent diverse cultures and jurisdictions, combining local know-how with international expertise to ensure your business thrives across borders.
Baker McKenzie is an Equal Opportunity Employer. We are committed to promoting diversity and inclusion for all. Our unique international culture is reflected in the drawing together of a worldwide family of individuals from diverse cultures and backgrounds in all of our offices. We encourage the best people - regardless of race, religion or belief if any, gender, gender identity, disability, sexual orientation or age - to fulfill their professional aspirations with us. We are committed to ensuring an inclusive and accessible experience for all candidates.
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