Resident Solutions Architect - Databricks (US Cit to pass Security Clearance)

Resident Solutions Architect - Databricks (US Cit to pass Security Clearance)

We are seeking to hire several Resident Solutions Architect with expertise in Databricks to join our teams working on new multi-year awards we have within large Federal Gov’t agencies in the Washington, DC area.  These roles are 100% remote.

Being a US Cit and having a Public Trust, MBI, DoD Secret clearance or higher (can start with an interim Secret) is required for working on these programs.

This position pays a strong salary package with full benefits (including choice of healthcare plans, dental, vision, life insurance, 3 weeks PTO, 11 Paid Federal Holidays, and a matching 401k).

An option for working on an hourly rate is also available for those not needing a full benefits package.

Core Responsibilities

·        Engage with customers on short- to mid-term professional services projects using the Databricks platform (data engineering, data science, cloud). 

·        Design and build reference architectures, help with production-level use cases and deployments of big data / AI applications. 

·        Collaborate with engagement/project managers, customer teams, and internal engineering/support teams to ensure technical delivery meets customer needs

·        Provide escalated technical support or operational assistance for customer engagements, helping to resolve issues or unblock customers

·        Work hands-on: write code (e.g., Python, Scala), work with distributed compute (Apache Spark), integrate across cloud ecosystems. 

·        Possibly scope new engagements, support sales or pre-sales (depending on region/team) by estimating effort, defining deliverables. 

·        Provide feedback to product/engineering from customer engagements (help improve platform, features)

Required Skills and Qualifications

·        Several years (often 8+ years) in data engineering, analytics, platform roles. 

·        Strong coding ability in Python or Scala, and comfortable with distributed processing (Spark). 

·        Experience working across at least one cloud provider (AWS, Azure, Google Cloud Platform) and preferably familiarity with multiple. 

·        Knowledge of production deployments: CI/CD, MLOps, data architectures. 

·        Good client-facing / consulting / customer engagement skills (communicating technical ideas, scoping projects, working with customer teams). 

·        10+ years of consulting experience

·        Completed Data Engineering Professional certification required classes

·        Minimum 6-8+ projects delivered with hands-on experience in development on Databricks

·        Working knowledge of two or more common Cloud ecosystems (AWS, Azure, Google Cloud Platform) with deep expertise in at least one

·        Deep experience with distributed computing with Spark with knowledge of Spark runtime internals

·        Familiarity with CI/CD for production deployments

·        Working knowledge of MLOps

·        Current knowledge across the breadth of Databricks product and platform features

·        Familiarity with optimizations for performance and scalability

What You Should Expect from the Role

·        It’s billable professional services: you’ll often be working as a consultant/embedded engineer with customers, delivering real implementations rather than purely strategy. 

·        The role is technically deep: you’ll not only design solutions but often build them, debug issues, optimize performance.

·        Because it is delivery-oriented, you may deal with customer escalations and operational issues, not just green-field new builds.

·        You’ll need adaptability: customers across industries, various workloads (ETL, streaming, AI/ML), different cloud platforms.

·        The role also helps the customer adopt Databricks, so you’re enabling change in how they think about data/AI, not just delivering code

Role of an RSA:

·        Be a trusted advisor with authority and clarity.

·        Set expectations and simplify complex ideas.

·        Earn trust early, even before delivering technical work.

·        Align with the customer, listen actively, and empathize with their concerns.

·        Always under-promise and over-deliver.

·        Strategic Nature of PS Consulting

·        Focus on solving problems to build trust and unlock future work.

·        Use clear, jargon-free communication.

·        Identify stakeholders, understand drivers of change, and mitigate risks.

·        Offer quick-win alternatives to free up customer bandwidth for strategic tasks.

·        Build vs. Buy Mitigation

·        Assess if building aligns with the company’s core competencies or adds technical debt.

·        Ask: “Does owning this make you money, or is it a cost center?”

·        Highlight Databricks’ value proposition in scalability and maintainability.

·        Empathize—custom solutions are often someone’s “baby.”

·        Offer bake-offs to demonstrate Databricks’ strengths.

·        Position Databricks as a career-enabler over maintaining fragile systems.

·        Spark Performance & Business Disruption Concerns

·        Educate the customer—understand the specifics: data size, current framework, future scaling needs.

·        Clarify if Spark is truly the bottleneck.

·        Offer bake-offs on speed, performance, and cost.

·        Build a clear, phased migration plan with deliverables.

·        Coordinate with the account team to align messaging and reinforce trust.

·        UC Feature Gaps & Overpromising

·        Determine if missing features are true blockers.

·        Educate the account team on PUPR (Public Preview) vs. GA (General Availability).

·        If necessary, build lightweight custom solutions to bridge gaps.

·        Re-align customer expectations with reality and roadmap.

If qualified and interested, please send an updated resume along with rate/salary requirement and we will follow up quickly to discuss further details and move forward with your interview process.

ec3 Federal Services is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.  ec3 Federal Services is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at ec3 are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. ec3 Federal Services will not tolerate discrimination or harassment based on any of these characteristics.