Big Data Architect

Jobgether • United State
Remote
Apply
AI Summary

Design and implement complex data solutions in cloud environments. Collaborate with engineers, project managers, and clients to translate business requirements into scalable, secure, and high-performing data solutions. Ensure technical excellence and provide mentorship to peers.

Key Highlights
Design and implement big data solutions
Collaborate with cross-functional teams
Mentor and coach engineering teams
Key Responsibilities
Design, architect, and implement end-to-end big data solutions
Lead technical decisions, architecture reviews, and provide guidance to engineering teams
Translate customer requirements into actionable project backlogs and oversee engineering deliverables
Technical Skills Required
Spark/PySpark Python Streaming architectures Distributed systems Data governance Security Multi-tenant models Enterprise BI solutions DevOps pipelines Infrastructure as Code CI/CD Monitoring Logging
Benefits & Perks
Base salary range: $140,000 - $157,500 per year
100% remote work
Medical, dental, and vision insurance
401(k) plan with up to 4% company match
Term life and disability insurance
Flexible Spending Accounts
Equipment/office stipends
Annual learning and development stipend
Unlimited Paid Time Off
10 paid holidays
Company-issued laptop and other technology support
Competitive phantom equity
Nice to Have
Experience with data mesh
dbt
Emerging technologies
Professional services consulting

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Big Data Architect in United States.

This role is perfect for a highly skilled and innovative professional who thrives on designing and implementing complex data solutions in cloud environments. As a Big Data Architect, you will play a central role in shaping the architecture and strategy of large-scale data platforms, supporting multiple customers across diverse industries. You will collaborate with engineers, project managers, and clients to translate business requirements into scalable, secure, and high-performing data solutions. This role offers exposure to cutting-edge technologies, including data lakes, data warehouses, streaming architectures, and cloud-native tools on AWS. You will ensure technical excellence, provide mentorship to peers, and contribute to the development of robust DataOps processes. The environment is fast-paced, collaborative, and driven by curiosity and continuous improvement. Your work will directly impact the success of customer initiatives and the efficiency of cloud data operations.

Accountabilities

  • Design, architect, and implement end-to-end big data solutions, including data lakes, warehouses, and advanced analytics platforms.
  • Lead technical decisions, architecture reviews, and provide guidance to engineering teams.
  • Translate customer requirements into actionable project backlogs and oversee engineering deliverables.
  • Ensure solutions meet performance, security, scalability, and compliance standards.
  • Mentor and coach engineering teams, fostering knowledge sharing and adherence to best practices.
  • Collaborate with cross-functional teams including Project Managers, Product Managers, and DevOps to deliver high-quality cloud-native applications.
  • Troubleshoot complex issues in development, testing, and production environments.
  • Produce architectural documentation, technical assessments, and cost estimations.

Requirements

  • 6+ years of experience designing and delivering big data solutions.
  • 3+ years of experience architecting cloud solutions, particularly in AWS.
  • Deep knowledge of data platform lifecycle, DataOps, and building enterprise-grade data architectures.
  • Hands-on expertise with Spark/PySpark, Python, streaming architectures, and distributed systems.
  • Experience with data governance, security, multi-tenant models, and enterprise BI solutions.
  • Strong analytical, problem-solving, and communication skills to collaborate with technical and non-technical stakeholders.
  • Familiarity with DevOps pipelines, Infrastructure as Code, CI/CD, monitoring, and logging.
  • Preferred: experience with data mesh, dbt, emerging technologies, and professional services consulting.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Advanced English proficiency (minimum C1).

Benefits

  • Base salary range: $140,000 - $157,500 per year, commensurate with experience and qualifications.
  • Additional compensation may include bonuses, commissions, equity, and other incentives.
  • 100% remote work with a flexible, supportive environment.
  • Medical, dental, and vision insurance for you and eligible dependents.
  • 401(k) plan with up to 4% company match and immediate vesting.
  • Term life and disability insurance.
  • Flexible Spending Accounts and equipment/office stipends.
  • Annual learning and development stipend.
  • Unlimited Paid Time Off after 90-day probation, plus 10 paid holidays.
  • Company-issued laptop and other technology support.
  • Competitive phantom equity and other perks.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


Similar Jobs

Explore other opportunities that match your interests

Beyond Broadline Analyst

Data Science
•
3h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Entry level

Buyers Edge Platform

United State

Senior Data Engineer (P&C Insurance)

Data Science
•
8h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

James Search Group

United State

Analytics Engineer

Data Science
•
13h ago

Premium Job

Sign up is free! Login or Sign up to view full details.

•••••• •••••• ••••••
Job Type ••••••
Experience Level ••••••

shippo

United State

Subscribe our newsletter

New Things Will Always Update Regularly