
High-Performance Data Solutions Specialist
Há 24 horas
We are seeking a highly skilled Data Architect to join our organization. As a key member of our team, you will play a critical role in designing and architecting comprehensive data solutions across multiple platforms aligned with client needs and objectives.
Key Responsibilities:- Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the solution.
- Design and implement Virtual Cloud solutions including virtual network and management of network routings and subnets.
- Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration.
- Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimension modelling (Star and/or Snowflake schemas), and other relevant design patterns.
- Manage one or more Data projects, owning the end-to-end execution and responsibility of the outcomes.
- Lead cross-functional teams to deliver on client goals, providing technical guidance and ensuring alignment with best practices.
- Engage with clients and stakeholders to understand business goals, provide technical expertise, and deliver tailored solutions.
- Ensure all designed solutions meet the highest standards of quality, performance, cost-effectiveness, and access policy management.
- Stay updated with emerging industry trends and technologies, integrating them into solutions to provide added value to clients.
- Advanced or expert-level experience with one or more Database technologies (e.g., SQL Server) and modern data warehousing solutions (e.g., Snowflake, Databricks, Redshift, BigQuery).
- Experience with integrating data across disparate systems using APIs and data integration tools. Proficiency in industry-leading data movement and transformation tools such as Snaplogic, dbt, Matillion, Fivetran, Azure Data Factory, AWS Glue.
- Expertise in advanced analytics, including predictive modeling and statistical analysis.
- Experience with BI tools (e.g., Tableau, Power BI, Looker) for data visualization and data analysis tools (e.g., Python, R) for decision-making.
- Familiarity with DevOps practices for data (e.g., DataOps) and automation tools (e.g., Jenkins, Terraform) to streamline data workflows.
- Familiarity with Agile/Scrum methodologies.
This role offers opportunities for professional growth and development in a dynamic and innovative environment.
Other Opportunities:We encourage collaboration and knowledge sharing among team members to drive innovation and excellence in our work.
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