Data Architect - Remote Eligible Role

Engineering Argentina


Description

REMOTE ELIGIBLE ROLE

Only LatAm based applicants will be considered. At this time, we are able to hire remote employees in any country in LatAm with the exception of applicants based in Mexico, Venezuela & Cuba. Please submit a CV in English.

About the Role:

We are seeking a Data Architect to define and lead the Data Architecture, Data Quality, Data Governance, that is responsible for ingesting, processing, and storing millions of rows of data per day. This hands-on role helps solve real big data problems. You will be designing solutions, writing codes and automation, defining standards, establishing best practices across the company and building world-class data solutions and applications that power crucial business decisions throughout the organization. We are looking for an open-minded, structured thinker passionate about building systems at scale. This position reports to the Senior Engineering Manager, Personalization and can be fully remote in LatAm.

What You’ll Be Doing:

  • Design, implement and lead Data Architecture, Data Quality, Data Governance across 
  • Defining data modeling standards and foundational best practices
  • Develop and evangelize data quality standards and practices
  • Establish data governance processes, procedures, policies, and guidelines to maintain the integrity and security of the data.
  • Drive the successful adoption of organizational data utilization and self-serviced data platforms. 
  • Create and maintain critical data standards and metadata that allows data to be understood and leveraged as a shared asset
  • Develop standards and write template codes for sourcing, collecting, and transforming data for streaming or batch processing data. 
  • Design data schemes, object models, and flow diagrams to structure, store, process, and integrate data
  • Provide architectural assessments, strategies, and roadmaps for data management.
  • Apply hands-on subject matter expertise in the Architecture and administration of Big Data platforms, Data Lake Technologies (AWS S3/Hive), and experience with ML and Data Science platforms.
  • Implement and manage industry best practice tools and processes such as Data Lake, Databricks, Delta Lake, S3, Spark ETL, Airflow, Hive Catalog, Redshift, Kafka, Kubernetes, Docker, CI/CD
  • Translate big data and analytics requirements into data models that will operate at a large scale and high performance and guide the data analytics engineers on these data models.
  • Define templates and processes for the design and analysis of data models, data flows, and integration.
  • Lead and mentor Data Analytics team members in best practices, processes, and technologies in Data platforms

What We are Looking For:

  • B.S. or M.S. in Computer Science, or equivalent degree
  • 10+ years of hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting.
  • 7+ years of hands-on experience in productionizing and deploying Big Data platforms and applications, Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases, time-series databases, Spark streaming, Kafka, Hive, Parquet, Avro, and more
  • extensive experience in understanding a variety of complex business use cases and modeling the data in the data warehouse. 
  • Highly skilled in SQL, Python, Spark, AWS S3, Hive Data Catalog, Parquet, Redshift, Airflow, and Tableau or similar tools.
  • Proven experience in building a Custom Enterprise Data Warehouse or implementing tools like Data Catalogs, Spark, Tableau, Kubernetes, and Docker
  • Knowledge of infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with Amazon Web Services (AWS)
  • Strong verbal and written communications skills are a must and work effectively across internal and external organizations and virtual teams.
  • Demonstrated industry leadership in the fields of Data Warehousing, Data Science, and Big Data related technologies.
  • Strong understanding of distributed systems and container-based development using Docker and Kubernetes ecosystem 
  • Deep knowledge of data structures and algorithms.
  • Experience in working in large teams using CI/CD and agile methodologies.

What We Offer:

  • Competitive salary (usd)
  • Paid time off & work from home flexibility
  • Learning & development programs

ABOUT US

Beauty for All Industries (BFA) is home to the largest beauty subscription brands in the world: IPSY and BoxyCharm, as well as brand incubator, Madeby Collective.

We are uniquely situated at the nexus of tech and beauty and are a digitally native company – born and raised online, during the rise of social media.

We approach everything we do with a community-first mindset and deliver a personalized experience that is rooted in machine learning and impeccable merchandise curation. With an avid beauty community and more than 200 million product reviews, we have created the ultimate beauty innovation platform.

We are the creators, coders, merchandisers, analysts, designers, engineers, marketers, and countless more—who make discovering personalized beauty possible.

Check out our Career Site to learn more about life, culture, benefits, and perks across all of our Beauty For All brands! https://www.bfaindustries.com/careers

EEO Statement: We are an equal opportunity employer who celebrates diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

As we are US based company to comply with country specific employment laws we partner with local in country payrolling agencies

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. 

BFA Industries is based in the U.S. and we partner with the local agency, Nexton, that assists us with employee recruiting and payroll. Any personal information that you share with us is subject to our BFA Policy 

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