Job Description
Job Description
As a Data Architect, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency.
Responsibilities include but are not limited to :
- Contribute data engineering and architecture expertise to firm projects and technologies initiatives. (ie. enterprise applications, GenAI, LLM, MLOps, etc.)
- Create deployment and modernization strategies for enterprise-wide digital transformations, particularly for the transition of legacy data to new systems and platforms
- Demonstrated leadership experience with an ability to manage multiple initiatives at once
- Experience in the development of enterprise data architecture strategies and roadmaps for internal projects (including linked business cases) with a specific focus on the following :
- Developing robust data models and dictionaries to manage internal data
- Supporting data security initiatives with an understanding of data classification guidelines
- Data technology architectures and solution options aligned to technology strategy and priority data use cases
- Oversight of data engineering and operation tasks supporting firm projects and operational activities
- Experience in development and execution of data programs working closely with stakeholders across functional teams
- Ability to break down complex problems, question assumptions and be comfortable making high impact decisions with limited information and some degree of uncertainty
Experiences and skills you’ll use to solve
- Experience as a Data Architect, Data Engineering manager or similar role, preferably in a large-scale enterprise environment
- Extensively in large scale data architecture, data modeling and implementation with hands-on experience
- Expertise with modern data architecture and platforms, experience with a variety of database technologies, including relational databases (e.
g., SQL Server, Oracle, MySQL), NoSQL databases (e.g., MongoDB, CosmosDB, Cassandra), and cloud-based database services (e.
g., Azure SQL Database, Databricks, BigQuery, Snowflake, Amazon RDS)
- Manage multiple data integration / ETL patterns : batch, streaming, API / microservices
- Understanding of implementation of architecture using Azure data technology stack
- Hands-on experience with data integration tools (e.g., ADF, Synapse, Databricks) and ETL development
- Proficiency in designing conceptual, logical, and physical data models to represent organizational data assets and facilitate efficient data storage, retrieval, and analysis
- Knowledge of data governance frameworks, policies, and best practices to ensure data quality, integrity, security, and compliance with regulatory requirements
- Oversee CI / CD & DevOps, perform code reviews
Experience with GenAI / LLM and MLOps / AIOps technologies are nice to have
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