Solutions Architect

TechYard; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

TechYard is seeking an experienced Databricks Solutions Architect to lead the design and delivery of modern data and AI platforms for enterprise clients, primarily on Microsoft Azure. You will own end-to-end solution architecture and translate complex business requirements into scalable, secure, production-ready solutions.

Working with clients, data engineers and AI specialists, you will provide architectural leadership from discovery to deployment, establish best practices, governance and cost

Qualifications

• 8+ years of experience in data engineering, data architecture or cloud solution architecture.
• Extensive hands‑off Databricks experience in production environments.
• Strong expertise in Delta Lake, Unity Catalog and lakehouse architecture.
• Strong experience with Microsoft Azure and its data services.
• Experience leading technical teams and owning architecture decisions across complex projects.
• Experience in a client‑facing architecture role within a consultancy, technology partner or systems integrator.

Responsibilities

• Design and own end‑to‑end Databricks solutions, covering data ingestion, transformation, storage, modelling, governance and serving.
• Lead the architecture of enterprise Databricks platforms, leveraging Delta Lake, Unity Catalog and other core Databricks capabilities.
• Design scalable, secure and cost‑effective cloud data architectures, primarily on Microsoft Azure.
• Provide technical leadership to data engineering teams, establishing best practices across data pipelines, orchestration and platform development.
• Define and implement data governance, security, access management and lineage frameworks.
• Lead technical discovery sessions and architecture workshops with senior client stakeholders.
• Translate business requirements into robust technical architectures and implementation roadmaps.
• Work closely with data engineers, data modellers, analytics teams and AI specialists.
• Architect data platforms that support advanced analytics, machine learning and generative AI use cases.
• Optimise platform performance, scalability, reliability and cloud costs.
• Take ownership of key architectural decisions and mentor technical teams.
• Support presales activities, including solution design, technical proposals, RFPs and client presentations.

Skills

Databricks arch

Azure data services

Cloud architecture

Data governance

Leadership

Stakeholder mgmt

Data modelling

ML/Gen AI

Pre-sales support

Tools

Databricks

Delta Lake

Unity Catalog

Azure Data Factory

Azure Synapse

Job description

We are a technology and AI consultancy helping organisations transform how they operate through data, artificial intelligence and modern cloud technologies.

Combining strategic thinking, deep technical expertise and hands‑on delivery, we design and implement enterprise‑grade data and AI solutions that solve complex business challenges and deliver measurable outcomes.

Our focus is on taking solutions beyond proof of concept and into production, building scalable, secure and intelligent platforms that create lasting business value.

The Role

We are looking for an experienced Databricks Solutions Architect to lead the design and delivery of modern data and AI platforms for enterprise clients, primarily leveraging Databricks on Microsoft Azure.

You will own end‑to‑end solution architecture, translating complex business requirements into scalable, secure and production‑ready technical solutions.

Working closely with clients, data engineers, data architects and AI specialists, you will provide architectural leadership throughout the project lifecycle, from initial discovery and solution design through to implementation and production deployment.

This is a senior, client‑facing position combining hands‑off technical expertise, solution architecture and stakeholder management.

Key Responsibilities

• Design and own end‑to‑end Databricks solutions, covering data ingestion, transformation, storage, modelling, governance and serving.
• Lead the architecture of enterprise Databricks platforms, leveraging Delta Lake, Unity Catalog and other core Databricks capabilities.
• Design scalable, secure and cost‑effective cloud data architectures, primarily on Microsoft Azure.
• Provide technical leadership to data engineering teams, establishing best practices across data pipelines, orchestration and platform development.
• Define and implement data governance, security, access management and lineage frameworks.
• Lead technical discovery sessions and architecture workshops with senior client stakeholders.
• Translate business requirements into robust technical architectures and implementation roadmaps.
• Work closely with data engineers, data modellers, analytics teams and AI specialists.
• Architect data platforms that support advanced analytics, machine learning and generative AI use cases.
• Optimise platform performance, scalability, reliability and cloud costs.
• Take ownership of key architectural decisions and mentor technical teams.
• Support presales activities, including solution design, technical proposals, RFPs and client presentations.

Requirements

• 8+ years of experience across data engineering, data architecture or cloud solution architecture.
• Extensive hands‑off experience designing and implementing Databricks solutions in production environments.
• Strong expertise in Databricks, particularly Delta Lake, Unity Catalog and lakehouse architecture.
• Strong experience with Microsoft Azure and its data services.
• Deep understanding of data engineering, including ingestion, ETL/ELT, orchestration, data modelling and data warehousing.
• Experience designing enterprise‑scale, secure and governed data platforms.
• Knowledge of modern data architecture patterns, including medallion architecture, dimensional modelling and Data Vault.
• Proven experience leading technical teams and owning architecture decisions across complex projects.
• Experience in a client‑facing architecture role within a consultancy, technology partner or systems integrator.
• Ability to translate business requirements into scalable and practical technical solutions.
• Excellent communication, stakeholder management and presentation skills.

Nice to Have

• Databricks certifications at Professional or Architect level.
• Experience with Microsoft Fabric, Azure Synapse or Azure Data Factory.
• Exposure to MLflow, MLOps, machine learning and generative AI platforms.
• Experience integrating enterprise systems such as SAP.
• Experience working in regulated industries, particularly financial services, pharmaceuticals or life sciences.
• Experience supporting presales, RFP responses and technical solution development.

The Opportunity

This is an opportunity to take ownership of complex enterprise data and AI architecture projects, working with senior stakeholders and multidisciplinary technical teams.

You will play a key role in shaping modern data platforms, driving technical excellence and helping organisations move from experimentation to production‑grade AI and data solutions.