Data Architect

atPythianRemoteUS flagUnited StatesFull-timeData EngineerSeniorLead$160k – $200k/year

Posted 4 days ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the comprehensive architecture that encompasses ingestion, lakehouse, and warehouse layers, along with transformation, modeling, and delivery to reporting and analytics tools.

• Develop and implement pipelines, Spark and SQL transformations, as well as data models.

• Evaluate and provide feedback on the code produced by the team.

• Create lakehouse architectures using Databricks or Fabric, which includes medallion layering, Delta table design, and the semantic layer.

• Choose and justify the use of Databricks, Fabric, or a combination based on client workloads, licensing, expertise, and budget considerations.

• Set up governance and access control mechanisms utilizing Unity Catalog, Purview, or a similar tool.

• Design and construct ingestion processes from databases, SaaS solutions, APIs, files, and legacy systems.

• Partner with clients and data teams to provide strategic database and analytics services.


⛳️ Requirements

• A minimum of eight years in data engineering, including at least three years leading architecture and design decisions.

• Demonstrated success in hands-on delivery of data platform design and construction.

• Extensive practical experience with Databricks or Microsoft Fabric, along with a working knowledge of the other.

• Proficient in Spark and SQL.

• Strong skills in Python or a comparable language utilized in production data tasks.

• Experience in production environments with Delta Lake, medallion architecture, and lakehouse methodologies.

• Familiarity with Power BI, specifically in semantic model development and implementation.

• Strong capabilities in dimensional and semantic modeling.

• Knowledge of data governance principles, including classification, lineage, cataloging, and access control.

• Experience with CI/CD, version control, and testing methodologies applied to data projects.

• Must meet the requirements necessary to pass a background check.


🏝️ Benefits

• Competitive total rewards package.

• Opportunity to blog during work hours.

• A day off to volunteer for your preferred charity.

• Flexible remote work arrangements with no requirement for daily office travel.

• Significant training allowance.

• Professional development days.

• Opportunities for training and certification.

• Laptop with a choice of operating system.

• Annual budget to customize your work environment.

• Annual wellness budget for gym memberships, massages, fitness, and more.

• Generous paid vacation and sick leave.

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