Arquitecto de soluciones

Lovelytics; Arlington (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading data firm in Arlington is seeking a Senior Recruiter to oversee data-driven strategies and implementations within a progressive team. The ideal candidate will possess 8+ years of data engineering experience, a strong background in cloud technologies, and proven client-facing skills. This full-time position emphasizes technical mentorship and strategic delivery within a collaborative environment. Opportunities for innovation and career growth are integral to this role.

Qualifications

• 8+ years of experience in data engineering 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 and pipelines.

Responsibilities

• Formulate data strategies aligned with client objectives.
• Design and oversee implementations on Databricks and cloud technologies.
• Mentor engineers and guide teams through implementation.

Skills

Data engineering

Cloud deployments

Client-facing communication

Technical mentoring

Data architecture design

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Databricks

AWS

Azure

GCP

Google Workspace

Slack

Atlassian

Job description

IT Senior Recruiter - Talent Acquisition l Organizational Psychologist

Lovelytics is a team of elite data and AI professionals who know how to make complex problems feel manageable—and even enjoyable. We bring clarity, speed, and heart to every project, partnering with clients to solve real problems with smart, sustainable solutions.

We are proud to be recognized as a top-tier Elite Partner in the Databricks Partner Program. Headquartered in Arlington, VA, we operate with a global delivery model across the United States, Canada, Colombia, Argentina, and Spain. Our international team is made up of more than 550 professionals worldwide.

Primary Responsibilities

• Formulate forward-looking data strategies aligned with client business objectives and industry best practices
• Design and oversee large-scale 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

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering 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
• 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

Seniority level

Director

Employment type

Full-time

Job function

Information Technology

Industries

IT System Data Services