Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure)

    • Jobot
  • Philadelphia, PA
  • Posted 2 hours ago | Updated 2 hours ago

Overview

On Site
USD 165,000.00 - 190,000.00 per year
Full Time

Skills

Data Engineering
Analytics
Managed Services
Global Delivery
Professional Development
Training
Collaboration
Design Architecture
Data Migration
Performance Tuning
Data Governance
Process Engineering
Mentorship
Return On Investment
Computer Science
Management
Cloud Computing
Snow Flake Schema
Amazon Redshift
Data Warehouse
Customer Facing
Presentations
Documentation
SQL
Terraform
Continuous Integration
Continuous Delivery
GitHub
Bitbucket
Data Integration
Amazon Web Services
DMS
Microsoft Azure
Apache Spark
Military
SAP BASIS
Authorization
Law
LOS
Legal
Privacy
Artificial Intelligence
Innovation
Value Engineering
Recruiting

Job Details

Job Description

Job Description
Remote first / cloud-native data platforms

This Jobot Job is hosted by: Katrina McFillin
Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume.
Salary: $165,000 - $190,000 per year

A bit about us:

Founded over a decade ago, we are a leading AI and data services partner helping global brands design, build, and run modern data and AI platforms on Snowflake and major cloud providers. We specialize in data engineering, analytics, and managed services, combining deep technical expertise with a global delivery model to maximize business value from data.

Why join us?

Competitive base compensation + bonus
Remote first
Comprehensive Benefits
4 weeks PTO + 10 holidays
Accelerated learning and professional development with advanced training and certifications (e.g., Snowflake, cloud).
High-Impact Work: Join a specialized Elastic Operations team running mission-critical cloud data platforms for leading enterprises.
Autonomy & Collaboration: Work in a culture that prizes autonomy, creativity, transparency, and cross-functional collaboration.

Job Details

Key Responsibilities and Duties:

Lead the design, architecture, and implementation of large-scale cloud-native data platform solutions on Snowflake, AWS, and Azure.

Drive data migrations, integrations, and performance tuning across data warehouses, data lakes, and distributed systems to optimize reliability and cost.

Own platform security, data governance, and process engineering to ensure robust, scalable, and continuously improving data environments.

Manage multiple client engagements as a trusted advisor, collaborating with cross-functional teams and mentoring junior engineers to maximize platform ROI and customer success.

Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field (advanced degrees or relevant certifications are a plus).

At least 10 years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms (Snowflake, Redshift, Azure Data Warehouse) on AWS and/or Azure.

Proven client-facing consulting experience, including presenting to executive stakeholders and creating detailed solution documentation.

Strong technical depth in SQL, infrastructure-as-code (Terraform or CloudFormation), CI/CD (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark)

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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Company Description
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