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Solution Architect

Lovelytics, Arlington, VA , Chicago, IL, Remote +3

Posted pay

$155K–$215K

a year

Location: Arlington, VA , Chicago, IL, Remote +3
Work type: Remote
Level: Not given
Experience: 5+ years
Skills in the job text: AWS
GCP
Azure
Spark
Databricks
Posted: 4 days ago
Last check: 1 h ago
Job type: Solutions engineering

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Lovelytics

About Lovelytics: funding, hiring and pay

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Overview

Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.

Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP.

In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle.

Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We’ve kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks’ top partners, and three appearances on the Inc. 5000.

We’re looking for a Solution Architect to design and lead the build-out of a broad scope of modern, scalable data platforms and pipelines for clients across industries. This role is deeply hands-on in data engineering architecture, helping clients modernize their data to improve business outcomes.

You’ll define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud. You’ll also partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ engineering expertise.

This role is open to remote candidates in the U.S. and Ontario, Canada. You’re also welcome in any of our offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto!

This role is not open for sponsorship

What you need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in data analytics and architecture, including large-scale cloud deployments
4+ years in a client facing role, preferably in a professional services firm
Proven track record designing and implementing modern data lakehouses, warehouses, and pipelines in AWS, Azure, or GCP. Across Data Models, ETL Pipelines, integration specifications, secruity policies, access controls and infrastructue configuration.
Expert knowledge of Databricks and Spark (required)
Experience creating proofs of concept, technical presales presentations, and pricing for engagements
Strong client-facing communication skills with the ability to influence technical and executive stakeholders
A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian

The base salary range for this position is $155,000-215,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices.

Remote Roles

$170,000—$190,000 USD

Primary Responsibilties

Formulate forward-looking data strategies aligned with client business objectives and industry best practices
Design and oversee large-scale AI, lakehouse and warehouse implementations on Databricks (must-have) and other cloud-native technologies
Create solutions that integrate on-premises and multiple cloud environments seamlessly.
Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns
Ensure security, privacy, compliance, and data quality at scale on client engagements
Tackle intricate data engineering challenges and make strategic decisions to de-risk delivery
Introduce emerging technologies and methodologies to keep client solutions at the cutting edge.
Drive performance, cost optimization, scalability, and maintainability across data engineering solutions
Mentor engineers, review architectures and code, and guide teams through implementation.
Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements
Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs

Legal notes

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

Read the job posting on the Lovelytics site

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Source: the Lovelytics Greenhouse job board. We last checked this job 1 h ago. We first saw it 1 h ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

L

Lovelytics

Open tech jobs: 10
With posted pay: 90%
Median posted base: $150K–$210K

About Lovelytics: funding, hiring and pay

Compared with similar jobs

This base pay is above the median for solutions engineering jobs that are remote in the US with no level in the job title.

Median: $171K a year
Other jobs in the group: 433

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.