Sr. Data Platform Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Platform Engineer in the United States.

The Sr. Data Platform Engineer will lead the design, implementation, and optimization of enterprise-scale data solutions across cloud platforms, with a focus on Snowflake, AWS, and modern data governance frameworks. This role provides an opportunity to shape end-to-end data architecture, ensuring secure, high-performance pipelines and compliance with privacy regulations. You will collaborate with cross-functional teams including data engineers, analysts, product managers, and compliance specialists to translate business needs into scalable, cost-effective solutions. The position emphasizes cloud innovation, automation, and modern ELT/ETL methodologies while supporting large-scale initiatives and delivering measurable business impact.

Accountabilities

• Design and implement scalable, secure, and high-performance data architecture solutions using Snowflake and AWS.
• Lead architecture and development of ELT/ETL pipelines leveraging Python, dbt, Fivetran, and shell scripting.
• Collaborate with business partners, IT teams, compliance, and information security to translate business requirements into robust data solutions.
• Ensure regulatory compliance and data privacy in all aspects of data design, storage, and usage (FERPA, GDPR, etc.).
• Optimize cloud performance and cost for data solutions, implementing best practices in security and governance.
• Maintain full lifecycle development standards and documentation.
• Provide consultative guidance and mentorship on data engineering and platform best practices.

Requirements

• 8–10 years of experience in data architecture, engineering, or related fields.
• 3–5 years of hands-on experience with Snowflake in production environments.
• 3–5 years of custom Python and shell scripting for data pipelines.
• Strong expertise with AWS services relevant to data warehousing, lakes, and security (S3, Lambda, IAM).
• Familiarity with dbt, ELT/ETL frameworks, and Fivetran.
• Experience with relational databases including PostgreSQL and Oracle.
• Understanding of information security, network frameworks, and compliance frameworks (FERPA, GDPR, SOC audits).
• Proven ability to design enterprise-scale data architecture aligned with business strategy.
• Excellent communication, collaboration, and leadership skills.
• Experience in education technology or handling educational data is a plus.
• Familiarity with CI/CD for data pipelines and BI tools (Power BI, Tableau).
• Ability to pass background check and travel up to 10% of the time.
• Relevant certifications in Snowflake, AWS, or data governance tools are a plus.

Benefits

• Competitive salary range: $81,046–$174,000 per year, based on experience and location.
• Robust health benefits including medical, dental, vision, and prescription coverage.
• Paid time off, personal/family sick leave, and company holidays.
• Retirement plan with contributions/401(k).
• Tuition reimbursement, professional development, and certification opportunities.
• Flexible, virtual work environment available across all 50 states and D.C.
• Employee assistance programs, wellness resources, and corporate-sponsored events.
• Eligibility for discretionary bonus programs based on performance.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!