Data Architect
Data Architect
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Job Description
About You
Are you looking to continue your Data Architect career at a productdriven company that brings together software engineering machine learning and data science to solve real world problems Do you have passion for everything data from data quality (DQ) to data governance to data engineering Do you bring with you to the daily work environment a driven approach and attention to detail coupled with a bit of fun to top things up Are you eager to roll up your sleeves and show us your technical mojo
If your answers are YES then this is the perfect role for you!
Your Responsibilities
As our Data Architect you will play a crucial role in supporting RepRisks growth pushing forward our data architecture and data governance and by putting in place advanced data observability and data quality pipelines and processes. You will be part of our global architecture team reporting to the CTO of RepRisk. Moreover you will:
- Own the data architecture data governance and data quality of RepRisk
- Enable and foster a data culture across teams
- Bring a handson engineering approach to resolving datarelated issues
- Contribute to the adoption of innovative data observability and quality tools
- Together with fellow architects ensure our data infrastructure is performant robust and scalable to a 10x increase in data volume and complexity
- Design and optimize data models processes pipelines and storage solutions for both structured and unstructured data
- Support engineers and fellow architects in matters related to your function
- Proactively inform stakeholders in case of data anomalies or other DQ issues
- Educate the company in matters of data architecture governance and data quality
Qualifications :
You Offer
- A Bachelors Degree or higher in computer science software engineering or data science
- Ten years handson experience working with largescale data including three years as a data architect
- Subject matter expertise in some of the below areas:
- SOTA data observability tools and SaaS
- Major SQL and NoSQL databases
- Big data and data warehouses (e.g. Snowflake Clickhouse Redshift or Databricks)
- AWS cloud infrastructure
- Data Science and machine learning
- Analytical and structured thinking organized solutionoriented and efficient in
- Strong communication skills with proficiency in English every other language is a plus
Additional Information :
Please note that we will only consider candidates with a valid work permit
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
