Big Data Architect

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

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

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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

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Nice to Have

Experience with data mesh

dbt

Emerging technologies

Professional services consulting

Job Description

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.

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