Senior Data Architect
3 weeks ago
We are seeking a Senior Data Architect to design and develop scalable data pipelines using technologies like Python and SQL.
This role involves developing and implementing data quality checks and monitoring processes to ensure data integrity.
The ideal candidate will have hands-on experience with Snowflake or Data Bricks, Python or Pyspark, and SQL.
Additionally, the candidate should have experience working with cloud platforms (AWS, Azure, GCP) and infrastructure as code (IaC) tools like Terraform.
The Senior Data Architect will collaborate with data scientists and analysts to understand data requirements and translate them into technical solutions.
The perfect candidate will have a strong background in data warehousing and data modeling concepts, as well as experience with Git for version control.
Responsibilities:
- Design, develop, and maintain scalable data pipelines using technologies like Python and SQL.
- Develop and implement data quality checks and monitoring processes to ensure data integrity.
- Build and automate data ingestion processes from various sources (databases, APIs, etc.) to Snowflake.
- Utilize cloud platforms (AWS, Azure, GCP) to build and manage data infrastructure.
- Leverage Infrastructure as Code (IaC) tools like Terraform to provision and manage cloud resources.
- Collaborate with data scientists and analysts to understand data requirements and translate them into technical solutions.
- Version control code using Git and collaborate with the team through code reviews.
- Document data pipelines and processes for future reference and knowledge sharing.
Qualifications:
- 5+ years of experience in data engineering or a related field.
- Proven experience in designing, developing, and deploying data pipelines.
- Hands on experience with Snowflake or Data Bricks, Python or Pyspark and SQL.
- Should have experience working in Data Build Tool (DBT).
- Experience with data warehousing and data modeling concepts.
- Experience working with cloud platforms (AWS, Azure, GCP) is a plus.
- Working knowledge of Terraform and Infrastructure as Code (IaC) principles.
- Experience with Git for version control.
- Excellent communication and collaboration skills.
- Should have experience in leading the data team.
- Ability to work independently and as part of a team.
- Strong problem-solving and analytical skills.
Bonus Points:
- Experience with data orchestration tools (Airflow, Luigi, etc.).
- Experience with data visualization tools (Tableau, Power BI, etc.)
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