What are the responsibilities and job description for the Data Architect position at takepayments Limited?
Description
Summary of This Role
What Part Will You Play?
Minimum Qualifications
Summary of This Role
What Part Will You Play?
- Data Architecture & Modeling: Design and implement robust data models, leveraging dimensional modeling principles to structure data for performance, usability, and scalability in reporting and analytics.
- Contribute in the development of efficient ETL processes, data pipelines, and workflows to transform, integrate, and load data from multiple sources into the data lake.
- Help solution and optimize data lake solutions that support high query performance and can scale with increasing data volume and complexity.
- Data Governance & Quality: Develop and enforce data quality standards, including validation, transformation, and cleansing rules to ensure data accuracy and consistency across the organization.
- Performance Tuning: Perform detailed performance tuning of ETL processes and query optimization to improve data processing speeds and reduce latency in data access.
Minimum Qualifications
- BS in Computer Science, Information Technology, Business / Management Information Systems or related field
- Typically minimum of 2 years - Professional Experience In Coding, Designing, Developing And Analyzing Data. Typically has a basic knowledge and use of one or more languages / technologies from the following but not limited to; two or more modern programming languages used in the enterprise, experience working with various APIs, external Services, experience with both relational and NoSQL Databases
- Expertise in designing star schemas, snowflake schemas, and other dimensional models per Kimball methodology.
- Proven experience with ETL frameworks, data pipeline design, and data warehousing technologies such as Snowflake, BigLake, BigQuery, or similar platforms.
- SQL Proficiency: Deep understanding of SQL, query optimization, and performance tuning.
- Programming Knowledge: Strong proficiency in languages such as Python, Java, or Scala for data processing and pipeline development.
- Experience with Big Data: Familiarity with big data technologies (e.g., Spark, Kafka, DBT, Iceberg, Parquet) is a plus.
- BS in Computer Science, Information Technology, Business / Management Information Systems or related field
- 4 years professional Experience In Coding, Designing, Developing And Analyzing Data
- Familiarity with OpenTelemetry
- Basics to advance level of AI/ML knowledge.