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Data Architect
3 months ago
We are looking for a talented Data Architect to join our team. If you have experience with below skills or technologies, we want to hear from you
- We are seeking an experienced Data Architect with over 10+ years of expertise to join our team.
- The ideal candidate will possess strong skills in Snowflake, SQL, and data modelling.
- This role involves designing, developing, and optimizing data architectures and pipelines, ensuring data quality and accessibility for business intelligence and analytics.
- Design and implement scalable data architectures that meet business requirements.
- Develop and maintain comprehensive data models, including conceptual, logical, and physical models.
- Perform source-to-target mapping and ensure data integrity across systems.
- Write and optimize complex SQL queries against Snowflake and other SQL databases.
- Develop scripts using Unix, Python, and other relevant languages to automate data extraction, loading, and transformation (ELT) processes.
- Utilize Snowflake utilities such as SnowSQL, SnowPipe, Tasks, Streams, Time Travel, and Optimizer.
- Manage and optimize Snowflake environments for performance and cost-efficiency.
- Implement data sharing and stored procedures in Snowflake.
- Use ETL tools like DBT to design and manage data pipelines.
- Ensure data quality and consistency through rigorous testing and validation.
- Integrate data from various sources into Snowflake for analysis and reporting Address complex data issues and continuously improve data processes.
- Stay current with industry trends and best practices in data architecture and analytics.
- Work effectively within a global team environment, collaborating with cross-functional teams.
- Communicate findings, designs, and recommendations effectively to both technical and non-technical stakeholders.
- Maintain comprehensive documentation for data models, processes, and system configurations.
- Participate in Agile delivery processes, contributing to sprint planning, reviews, and retrospectives. Over ten years of experience in data architecture, data engineering, or a related field.
- Extensive experience with Snowflake and SQL databases. Strong proficiency in Snowflake, including SnowSQL, SnowPipe, and other utilities.
- Excellent SQL coding skills and experience with advanced SQL optimization techniques.
- Proficiency in scripting languages such as Python and Unix.Experience with data modeling tools and methodologies. Familiarity with ETL tools, specifically DBTStrong analytical skills and attention to detail.
- Proven ability to solve complex data problems and implement effective solutions.Excellent communication skills, both verbal and written.
- Ability to create clear and comprehensive documentation for data processes and systems.Experience working in a collaborative, team-oriented environment.
- Ability to manage multiple priorities and meet deadlines.Experience with metadata management and data governance.
- Familiarity with other BI tools such as Power BI or Tableau. Knowledge of cloud platforms such as AWS or Azure.
- Certification in data architecture or data engineering.