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You'll be part of a dynamic team that designs and builds data pipelines that transform raw data into actionable insights. We're passionate about delivering high-quality data products that drive business decisions.
A Day in the LifeResponsibilities may include:
- Leading the design and development of cloud-based data pipelines using technologies like Snowflake, Informatica Cloud, Coalesce, DBT, Airflow, Oracle, and Python.
- Championing best practices for data architecture, governance, and security.
- Defining and implementing data quality standards and processes.
- Collaborating with engineering teams to develop and deploy data pipelines, ensuring scalability, performance, and reliability.
- Partnering with data analysts and business stakeholders to understand data needs and translate them into technical requirements.
- Staying up-to-date on the latest advancements in cloud data technologies and trends.
- Mentoring and guiding junior data architects and engineers.
We're looking for:
- A Bachelor's degree in computer science, systems engineering, or a related field.
- At least 5 years of proven work experience as a Data Architect.
- Fluency in English.
- A passion for working with data and transforming raw data into actionable insights.
- Proven experience in data modeling and data architecture design, with a strong focus on cloud-based platforms.
- Proven experience implementing data warehousing solutions (cloud preferred).
- Comfort with SQL language and designing ETL and ELT data pipelines.
- A strong understanding of data governance, security, and compliance.
- Excellent communication and collaboration skills.
- Proven ability to lead and mentor junior-level data architects and data engineers.
- Experience with large enterprise systems & solutions.
- Proficiency in at least one programming language (Python preferred).
- A willingness to experiment with new technologies and share knowledge with others.
- Proactive communication with team members and business partners.
- The ability to translate business requirements into technical data architecture designs.
- Experience working in an Agile team.
- Experience with CI/CD tooling: Azure DevOps, Git.
- Experience with Test Automation.
We're also interested in candidates with experience in:
- Snowflake, Databricks, AWS, Azure, Kafka, Hadoop, and Spark.
- Informatica Cloud or Informatica Power Center.
- DBT or Coalesce.