Senior Solutions Architect - 100% Remote

Akkodis; United States; Remote; USD 117,000 - 131,000; Part time

Job summary

Akkodis is seeking a Senior Data Solutions Architect for a 100% remote contract role in the United States. The ideal candidate will have a solid background in Data Architecture, Apache Spark, Databricks, and Lakehouse Architecture and will independently lead complex customer engagements.

Responsibilities include architecting and optimizing large-scale Spark/Databricks workloads, mentoring engineers, and delivering data-driven solutions. Strong communication to business leaders is essential.

Qualifications

• 5–10 years in data engineering or analytics solution delivery.
• 0
• 3+ years hands-on Databricks experience.
• Deep knowledge of Spark internals and PySpark.
• Strong Delta Lake and Structured Streaming knowledge.
• Ability to work autonomously and simplify complex topics.
• Excellent communication to business leaders.

Responsibilities

• Lead engagements from discovery to delivery with ownership.
• Architect and optimize large-scale Spark/Databricks workloads for scalability and cost-efficiency.
• Apply expert Spark skills to troubleshoot and tune distributed data jobs and SQL workloads.
• Design and run PoCs and workshops to demonstrate vision and drive confidence.
• Act as a technical advisor, anticipating issues and delivering data-driven solutions.
• Collaborate with product and engineering teams to improve the customer experience and platform features.
• Mentor junior engineers in PySpark and Lakehouse design.

Skills

Data architecture

Databricks

PySpark

Delta Lake

Tools

Spark Internals

Databricks SQL

Cloud platforms

Job description

Akkodis is seeking a Senior Solutions Architect for a Contract position, and this is a 100% Remote role. Ideally, the client is looking for applicants with a solid background in Data Architecture, Apache Spark, Databricks, and Lakehouse Architecture.

Rate Range: $85-$95 per hour. The rate may be negotiable based on experience, education, geographic location, and other factors.

Role Overview

We are seeking a Senior Data Solutions Consultant with deep expertise in Apache Spark and Databricks. This role requires a decisive, agentic-forward approach to problem-solving. You will independently lead complex customer engagements, bridging hands-on data engineering excellence with strategic technical leadership. As a trusted advisor, you will proactively build and implement solutions that unlock significant value for our customers.

Key Responsibilities

• Customer Leadership: Lead engagements from discovery to delivery with full ownership and accountability.
• Architecture & Optimization: Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency.
• Spark Expertise: Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads.
• Proactive Delivery: Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence.
• Strategic Advocacy: Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions.
• Cross-functional Partnership: Collaborate with product and engineering teams to improve customer experience and platform features.
• Mentorship: Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.

Required Qualifications

• Experience: 5-10 years in data engineering or analytics solution delivery.
• Databricks Mastery: 3+ years of hands-on expertise, including job optimization, debugging, and workload governance.
• Technical Depth: Deep understanding of Spark Internals, PySpark, and Databricks SQL (DBSQL) performance tuning.
• Modern Lakehouse: Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure.
• Autonomy: Proven ability to identify and solve complex technical problems with minimal oversight.
• Communication: Exceptional skills to simplify technical complexity for business leaders.

Preferred Qualifications

• Certifications: Databricks Certified Data Engineer Professional.
• Advanced Skills: Experience with Delta Live Tables (DLT) and Unity Catalog (UC).
• Consulting Background: Experience in large-scale data migration or AI-assisted analytics in enterprise environments.

For other opportunities available at Akkodis, or any questions, feel free to contact me at [phone] or [e-mail].

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave, including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act

Los Angeles City Fair Chance Ordinance

Los Angeles County Fair Chance Ordinance for Employers