Senior Data Engineer/Architect (Databricks Pro Certified, Clearance Eligible)

United States·Ashburnsenior

Data EngineerData

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Quick Summary

Key Responsibilities

Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure. Collaborate with stakeholders to understand business

Technical Tools

Data EngineerData

Responsibilities

~1 min read

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Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure.

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Collaborate with stakeholders to understand business requirements and translate them into technical specifications.

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Develop and maintain ETL processes to ensure efficient data flow and integration across systems.

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Ensure data quality, integrity, and security in all data-related activities.

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Optimize data storage and retrieval strategies to improve performance and cost-efficiency.

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Lead the implementation of data governance policies and procedures.

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Provide technical guidance and mentorship to data engineering teams.

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Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure.

Requirements

~2 min read

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Proven experience as a Data Architect, with a strong focus on Databricks.

Proficiency in Databricks, including the ability to build and optimize Spark applications.

Extensive experience with AWS services such as S3, Redshift, EMR, Lambda, Glue, and others.

Strong knowledge of Unity Catalog and its application in managing and securing data assets.

Strong knowledge of data modeling, ETL processes, and data warehousing concepts.

Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark).

Familiarity with data governance and data security practices.

Databricks Certified Professional.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

AWS Certified Solutions Architect or similar certification.
Experience with other cloud platforms (e.g., Azure, GCP).
Knowledge of machine learning and data science concepts.

Experience with data visualization tools (e.g., Tableau, Power BI).
Prior experience in a leadership or mentorship role.

Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $124,000 - $190,00.00.

Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.