Data Architecture_

Position: Data Architecture_96595
Company:

IT Services Organization
Key

Skills:

Pyspark, AWS, Databricks, Python, MySQL, AWS-Amazon Web Services, Data architecture, Cloud (AWS / Azure / GCP), Data Modelling

Roles and Responsibilities:

Design and implement scalable data architecture solutions aligned with business objectives.
Collaborate with business and technical teams to gather data requirements and define architecture strategies.
Develop and manage large-scale data processing pipelines using PySpark and Databricks.
Build and optimize data storage and processing solutions on cloud platforms such as AWS.
Manage and maintain relational databases such as MySQL to support operational and analytical workloads.
Design and maintain data models to support data analytics, reporting, and operational systems.
Ensure data quality, governance, and consistency across data platforms.
Provide technical leadership and guidance to data engineering and analytics teams.
Monitor and optimize performance of data pipelines and data platforms.
Stay updated with industry trends and best practices in data architecture, big data technologies, and cloud platforms.

Skills Required:

Strong experience in data architecture design and enterprise data strategy.
Hands-on experience with PySpark and Databricks for large-scale data processing.
Expertise in cloud platforms such as AWS for building scalable data solutions.
Strong programming skills in Python for data processing and automation.
Experience working with relational databases such as MySQL.
Knowledge of data modeling concepts including logical and physical data models.
Familiarity with big data technologies, ETL pipelines, and distributed data processing frameworks.
Understanding of data governance, security, and data quality practices.
Strong analytical, problem-solving, and stakeholder collaboration skills.

Education:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.