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Job Details

Skills

Technical Direction
Data Engineering
Data Security
IT Management
Enterprise Architecture
Problem Solving
Conflict Resolution
Life Insurance
Information Security Governance
Development Testing
Promotions
Auditing
Optimization
Onboarding
YAML
Dimensional Modeling
KPI
Meta-data Management
Natural Language
Interfaces
Mentorship
Design Review
Use Cases
Data Architecture
Documentation
Knowledge Transfer
Amazon Web Services
Analytics
Change Data Capture
Data Quality
Apache Spark
Unity
Data Governance
Access Control
RBAC
Continuous Integration
Continuous Delivery
Production Support
Semantics
Databricks
Business Intelligence
Microsoft Certified Professional
Generative Artificial Intelligence (AI)
Evaluation
Collaboration
Security Architecture
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Technical Direction
Data Engineering
Data Security
IT Management
Enterprise Architecture
Problem Solving
Conflict Resolution
Life Insurance
Information Security Governance
Development Testing
Promotions
Auditing
Optimization
Onboarding
YAML
Dimensional Modeling
KPI
Meta-data Management
Natural Language
Interfaces
Mentorship
Design Review
Use Cases
Data Architecture
Documentation
Knowledge Transfer
Amazon Web Services
Analytics
Change Data Capture
Data Quality
Apache Spark
Unity
Data Governance
Access Control
RBAC
Continuous Integration
Continuous Delivery
Production Support
Semantics
Databricks
Business Intelligence
Microsoft Certified Professional
Generative Artificial Intelligence (AI)
Evaluation
Collaboration
Security Architecture
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Description:
Remote

Our client is seeking a Senior Solution Architect to provide technical leadership for a large-scale Data & AI modernization initiative. This individual will own the overall architecture and technical direction across Databricks platform modernization, data engineering, governance, observability, semantic architecture, and AI/agent enablement. The Solution Architect will work closely with platform, data, security, business, and engineering stakeholders while providing technical leadership to a team of senior and staff-level Data & AI Engineers. This role is hands-on and requires the ability to move between enterprise architecture, Databricks platform design, governance, and technical problem solving.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $100.00 to $105.00/hr. w2

JN -52

Responsibilities:

Lead a Databricks Well-Architected assessment across platform architecture, observability, pipelines, consumption, data quality, security, governance, and cost. Define target-state architecture and technical standards for the Data & AI platform. Identify architectural gaps, technical debt, platform risks, and remediation priorities.
Establish architectural patterns supporting scalable data ingestion, transformation, analytics, AI, and agent-based solutions. Guide engineering teams in implementing standards and remediation priorities. Establish standards for development, test, production promotion, CI/CD, monitoring, and operational support.
Design and implement governance standards leveraging Databricks Unity Catalog. Define least-privilege access models, attribute-based access control policies, data classification, tagging, and lineage standards. Establish monitoring for system health, jobs, pipelines, audit activity, data quality, and platform performance. Implement platform approaches for cost monitoring and optimization.
Define data architecture standards for Bronze, Silver, and Gold medallion layers. Establish reusable patterns for source ingestion, transformation, data quality, lineage, and deployment. Architect configuration-driven onboarding frameworks using Databricks Lakeflow, Asset Bundles, YAML/control tables, and automated CI/CD. Guide development of conformed dimensions, shared business keys, and cross-domain data products.
Define the architecture for an AI-ready Gold layer with certified, governed, documented data products. Design semantic and context layers using governed business definitions, metric views, KPIs, metadata, and business glossary information. Architect natural-language analytics using Databricks Genie. Define agent-ready interfaces using governed Unity Catalog functions, MCP endpoints, tracing, and evaluation.
Provide architectural direction and technical mentorship to Data & AI Engineers. Partner with business SMEs and data owners to translate requirements into scalable technical solutions. Lead architecture and design reviews. Establish reusable engineering standards, reference architectures, runbooks, and implementation patterns. Participate in milestone and steering reviews.
Deliver a secure, observable, governed, cost-aware, AI-ready Databricks architecture that can scale beyond a single use case. Produce assessment scorecards, remediation plans, platform standards, reusable data architecture patterns, and semantic and AI architecture assets. Enable operational readiness with monitoring, runbooks, documentation, and knowledge transfer.

Experience Requirements:

Deep understanding of Databricks Lakeflow connect capabilities and AWS analytics and ingestion services.
Extensive experience addressing ingestion challenges from unsupported sources by Lakeflow connect, including CDC handling and reconciliation techniques.
Expertise with data quality libraries and configuration-based frameworks that plug DQ into ingestion pipelines.
Extensive experience designing enterprise Databricks lakehouse architectures with Spark, Delta Lake, Lakeflow, and Unity Catalog.
Strong experience with medallion architecture and Bronze/Silver/Gold data patterns.
Experience designing enterprise data governance, lineage, security, and access-control frameworks including ABAC and RBAC, data classification, tagging, and least-privilege security.
Experience designing production-grade data pipelines, reusable ingestion frameworks, observability, CI/CD, deployment automation, and production support.
Experience designing semantic layers and governed enterprise data products, and architecting AI or GenAI solutions operating against governed enterprise data, including Databricks Genie and AI/BI.
Experience with MCP and agent-based architectures, GenAI governance, tracing, and evaluation preferred.
Strong communication skills and ability to work across engineering, security, architecture, and business teams.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: cxelisen
Position Id: a1WUQ00000204VV2AY
Posted 3 hours ago

Company Info

About Eliassen Group

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job Details

Skills

Technical Direction
Data Engineering
Data Security
IT Management
Enterprise Architecture
Problem Solving
Conflict Resolution
Life Insurance
Information Security Governance
Development Testing
Promotions
Auditing
Optimization
Onboarding
YAML
Dimensional Modeling
KPI
Meta-data Management
Natural Language
Interfaces
Mentorship
Design Review
Use Cases
Data Architecture
Documentation
Knowledge Transfer
Amazon Web Services
Analytics
Change Data Capture
Data Quality
Apache Spark
Unity
Data Governance
Access Control
RBAC
Continuous Integration
Continuous Delivery
Production Support
Semantics
Databricks
Business Intelligence
Microsoft Certified Professional
Generative Artificial Intelligence (AI)
Evaluation
Collaboration
Security Architecture
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Technical Direction
Data Engineering
Data Security
IT Management
Enterprise Architecture
Problem Solving
Conflict Resolution
Life Insurance
Information Security Governance
Development Testing
Promotions
Auditing
Optimization
Onboarding
YAML
Dimensional Modeling
KPI
Meta-data Management
Natural Language
Interfaces
Mentorship
Design Review
Use Cases
Data Architecture
Documentation
Knowledge Transfer
Amazon Web Services
Analytics
Change Data Capture
Data Quality
Apache Spark
Unity
Data Governance
Access Control
RBAC
Continuous Integration
Continuous Delivery
Production Support
Semantics
Databricks
Business Intelligence
Microsoft Certified Professional
Generative Artificial Intelligence (AI)
Evaluation
Collaboration
Security Architecture
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Lead a Databricks Well-Architected assessment across platform architecture, observability, pipelines, consumption, data quality, security, governance, and cost. Define target-state architecture and technical standards for the Data & AI platform. Identify architectural gaps, technical debt, platform risks, and remediation priorities.
Establish architectural patterns supporting scalable data ingestion, transformation, analytics, AI, and agent-based solutions. Guide engineering teams in implementing standards and remediation priorities. Establish standards for development, test, production promotion, CI/CD, monitoring, and operational support.
Design and implement governance standards leveraging Databricks Unity Catalog. Define least-privilege access models, attribute-based access control policies, data classification, tagging, and lineage standards. Establish monitoring for system health, jobs, pipelines, audit activity, data quality, and platform performance. Implement platform approaches for cost monitoring and optimization.
Define data architecture standards for Bronze, Silver, and Gold medallion layers. Establish reusable patterns for source ingestion, transformation, data quality, lineage, and deployment. Architect configuration-driven onboarding frameworks using Databricks Lakeflow, Asset Bundles, YAML/control tables, and automated CI/CD. Guide development of conformed dimensions, shared business keys, and cross-domain data products.
Define the architecture for an AI-ready Gold layer with certified, governed, documented data products. Design semantic and context layers using governed business definitions, metric views, KPIs, metadata, and business glossary information. Architect natural-language analytics using Databricks Genie. Define agent-ready interfaces using governed Unity Catalog functions, MCP endpoints, tracing, and evaluation.
Provide architectural direction and technical mentorship to Data & AI Engineers. Partner with business SMEs and data owners to translate requirements into scalable technical solutions. Lead architecture and design reviews. Establish reusable engineering standards, reference architectures, runbooks, and implementation patterns. Participate in milestone and steering reviews.
Deliver a secure, observable, governed, cost-aware, AI-ready Databricks architecture that can scale beyond a single use case. Produce assessment scorecards, remediation plans, platform standards, reusable data architecture patterns, and semantic and AI architecture assets. Enable operational readiness with monitoring, runbooks, documentation, and knowledge transfer.

Experience Requirements:

Deep understanding of Databricks Lakeflow connect capabilities and AWS analytics and ingestion services.
Extensive experience addressing ingestion challenges from unsupported sources by Lakeflow connect, including CDC handling and reconciliation techniques.
Expertise with data quality libraries and configuration-based frameworks that plug DQ into ingestion pipelines.
Extensive experience designing enterprise Databricks lakehouse architectures with Spark, Delta Lake, Lakeflow, and Unity Catalog.
Strong experience with medallion architecture and Bronze/Silver/Gold data patterns.
Experience designing enterprise data governance, lineage, security, and access-control frameworks including ABAC and RBAC, data classification, tagging, and least-privilege security.
Experience designing production-grade data pipelines, reusable ingestion frameworks, observability, CI/CD, deployment automation, and production support.
Experience designing semantic layers and governed enterprise data products, and architecting AI or GenAI solutions operating against governed enterprise data, including Databricks Genie and AI/BI.
Experience with MCP and agent-based architectures, GenAI governance, tracing, and evaluation preferred.
Strong communication skills and ability to work across engineering, security, architecture, and business teams.

Dice Id: cxelisen
Position Id: a1WUQ00000204VV2AY
Posted 3 hours ago

Company Info

About Eliassen Group

Azure Cloud Security and Databricks Consultant

Remote

•

Today

Description: Remote but King of Prussia, PA or Milwaukee, WI preferred Our client seeks a security-focused Azure and Databricks specialist to support cloud migration and hardening activities associated with a transition services agreement. The consultant will drive architecture reviews, vulnerability remediation, IaC security scanning, CSPM rollout, SaaS data protection, and governance for Azure Databricks. The role requires coordination across legacy and target environments, rigorous document

Contract

Senior Solution Architect - Databricks, Data & AI

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Senior Solution Architect - Databricks, Data & AI

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