Wipro - Corvallis, OR

posted 2 months ago

Full-time - Mid Level
Corvallis, OR
10,001+ employees
Professional, Scientific, and Technical Services

About the position

As a Data Architect at Wipro, you will play a pivotal role in designing and implementing modern data platforms that are scalable, secure, and high-performance. Your primary focus will be on leveraging AWS services to build robust data solutions that meet the complex digital transformation needs of our clients. You will be responsible for architecting and deploying data platforms using services such as S3, Redshift, Glue, and Athena, ensuring that they are optimized for performance and aligned with business requirements. In this role, you will develop and maintain conceptual, logical, and physical data models, ensuring that they support business needs and are optimized for performance. You will also design, develop, and manage ETL/ELT processes to transform raw data into actionable insights, utilizing AWS Glue, Lambda, and other ETL/ELT tools to implement data ingestion and transformation workflows. Collaboration is key in this position, as you will work closely with data engineers and developers to integrate data from various sources, ensuring data quality and consistency. You will monitor and optimize data platform performance, implementing best practices for data storage, indexing, and partitioning to enhance query performance. Additionally, you will use Python and other scripting languages to automate data workflows and processes, developing scripts for data extraction, transformation, and load (ETL/ELT) tasks. Security and compliance are critical aspects of this role, and you will ensure that the data platform adheres to security standards and regulations. You will implement data governance policies and procedures to safeguard data integrity and privacy. Furthermore, you will provide technical guidance and mentorship to junior team members, fostering a collaborative environment that encourages continuous improvement and innovation in data architecture and solutions.

Responsibilities

  • Architect and deploy scalable, secure, and high-performance data solutions leveraging AWS services.
  • Develop and maintain conceptual, logical, and physical data models.
  • Design, develop, and manage ETL/ELT processes to transform raw data into actionable insights.
  • Integrate data from various sources into the data platform, ensuring data quality and consistency.
  • Leverage AWS services like S3 for storage, Redshift for data warehousing, and Athena for query execution.
  • Monitor and optimize data platform performance to ensure efficient data processing and retrieval.
  • Use Python and other scripting languages to automate data workflows and processes.
  • Ensure data platform complies with security standards and regulations.
  • Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
  • Stay updated with the latest AWS services and data technologies.

Requirements

  • Proven experience in designing and implementing data architectures using AWS services.
  • Strong knowledge of data modeling techniques and best practices.
  • Experience with ETL/ELT processes and tools, particularly AWS Glue and Lambda.
  • Familiarity with data integration from various sources, including APIs and databases.
  • Proficiency in performance optimization techniques for data platforms.
  • Strong scripting skills in Python or similar languages for automation of data workflows.
  • Understanding of data security and compliance standards.
  • Excellent communication and collaboration skills to work with cross-functional teams.

Nice-to-haves

  • Experience with data governance and data quality frameworks.
  • Knowledge of additional cloud platforms and services beyond AWS.
  • Familiarity with machine learning concepts and data science workflows.

Benefits

  • Competitive salary and performance bonuses.
  • Health insurance coverage including dental and vision.
  • 401(k) retirement savings plan with company matching contributions.
  • Flexible working hours and remote work options.
  • Professional development and continued education support.
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