Sr Data Architect

Role Summary
As a data architect, you are expected to have solid data management experience (Data modelling, Data Quality, ETL, and Reporting) and use your experience to support day-to-day data science activities, as well as coming up with initiatives that can enhance the work experience in the data domain by leveraging data quality and standardizing modelling and ETL designs.

The role requires strong partnership with data scientists, data engineers, data analysts, and reporting teams by demonstrating strong interpersonal and communication skills, as well as project and stakeholder management.

What's On Your Plate

As a Data Architect, you will be responsible for two scopes of work:

1. Data Units Support

   • Act as a data management consultant for our data science teams:

     • Guide them to create data models and ETL pipelines that best serve their use case, following best practices in terms of performance, quality, and cost.

     • Review production deployment requests and advise changes to follow the set standards.

     • Support the team in tuning their data solutions.

     • Align priorities and plan weekly/monthly activities.

2. Horizontal Initiatives

   • Identify gaps and shortfalls and build end-to-end data solutions that fill the gaps in terms of:

     • Reducing data platform activities cost.

     • Enhancing data pipelines performance.

   • Build/Maintain data products that support data quality and governance programs:

     • Build/Enhance data quality gates solutions.

     • Identify data quality and governance shortfalls, perform root cause analysis, and advise a solution and monitoring mechanisms.

     • On a team rotational basis, act as a production support guardian for the entire data platform ETL pipelines on your turn.

   • Partner with our data engineering and data reporting teams and work together to better support the data units and align on horizontal initiatives across the data platform.

Qualifications:

What Did We Order

• Advanced working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases.

• Solid data modelling experience with 5-8 years of experience.

• Experience building and optimizing data pipelines, data warehouse architectures, and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analytic skills related to working with unstructured datasets.

• Build processes supporting data transformation, data structures, metadata dependency, and workload management.

• Strong project management and organizational skills.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• A good problem solver with a figure-it-out growth mindset.

• An excellent collaborator.

• An excellent communicator.

• A strong sense of ownership and accountability.

• A keep-it-simple approach to #makeithappen.

• Bachelor's degree in engineering, computer science, technology, or similar fields.

Remote Work: No

Employment Type: Full-time