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Senior Data Architect

2 weeks ago


India Gravity Infosolutions Full time
About the Role

We are seeking a highly skilled Senior Data Architect to join our team on a contract basis. In this role, you will be responsible for designing and implementing data models and pipelines using DBT.

Key Responsibilities
  • Develop and maintain data models and pipelines using DBT for reporting and analytics purposes.
  • Support and champion the use of a unified semantic layer for metric delivery.
  • Ensure data quality, accuracy, and consistency throughout the data lifecycle.
  • Implement data validation and testing procedures to identify and address data anomalies.
Data Warehousing & BI

You will collaborate with data analysts and BI developers to design data models that support interactive dashboards and reports in Power BI at scale. Additionally, you will optimize data warehouse performance and scalability to support growing data volumes and user demands.

Data Infrastructure & Tools

As a Senior Data Architect, you will maintain and improve existing data pipelines and infrastructure. You will also evaluate and implement new data technologies and tools to enhance data capabilities, and contribute to the development and documentation of data standards and best practices.

Collaboration & Communication

You will work closely with cross-functional teams to understand business requirements and translate them into technical solutions. You will communicate complex technical concepts to both technical and non-technical audiences, and proactively identify and address potential data challenges and risks.

Project Management

You will manage and prioritize multiple projects simultaneously, ensuring timely delivery of high-quality results. You will utilize project management tools like Jira to track progress, manage dependencies, and communicate effectively with stakeholders.

RequirementsTechnical Skills
  • Bachelor's degree in computer science, statistics, mathematics, engineering, or related field.
  • 3+ years of experience as an analytics engineer, data engineer, or a similar role.
  • Strong proficiency with data querying and data modeling using SQL and data warehousing concepts.
  • Strong proficiency with DBT for data modeling, transformation, and documentation.
  • Experience with cloud data platforms (e.g., AWS, GCP, Azure).
  • Proficiency in modern data visualization tools such as Tableau, PowerBI, and/or Looker.
  • Experience with data quality and validation tools (i.e., Monte Carlo, etc.).
  • Experience working in an Agile development environment and management tools (i.e., Jira).
  • Confidence in dealing with technical and non-technical stakeholders.