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Databricks Resident Solution Architect

Curated Listing

🌐 Curated external listing. Waegook is not the employer. Verify all details and apply through the original source.

Source: Dev Korea

🕓 Source last checked 2026-08-12

1 0
SkilledIT & Tech

Description

Position: Databricks Resident Solution Architect
Company: Ultra Tendency Korea
Location: South Korea (Remote)
Employment type: Full-time
Skills: Cloud Technology
Posted: 2026-08-10

── About this role ──
> 한국어 공고는 아래에 있습니다.

About Ultra Tendency:

Ultra Tendency is a leading data and AI consultancy helping organizations accelerate digital transformation through modern data platforms, advanced analytics, and AI-driven solutions. As a trusted partner to enterprise customers across Europe, we specialize in delivering cloud-native data architectures and scalable solutions that unlock business value.

We are expanding our Databricks practice and are looking for an experienced Databricks Resident Solutions Architect (RSA) to work closely with our clients and delivery teams across APJ & EMEA.

The Role:

As a Databricks Resident Solutions Architect, you will serve as a trusted technical advisor and strategic partner to enterprise customers. You will guide organizations through their data and AI transformation journeys, helping them design, implement, and optimize modern data platforms built on Databricks.

You will combine deep technical expertise with strong stakeholder management skills to ensure customers realize measurable value from their Databricks investments. Working alongside client teams, executives, engineers, and Ultra Tendency consultants, you will lead architecture decisions, promote best practices, and drive successful adoption of the Databricks Lakehouse Platform.

This is a highly customer-facing role requiring both hands-on technical capability and executive-level communication skills.

Key Responsibilities:

Customer Advisory & Architecture:

• Act as the primary technical advisor for strategic Databricks customers.
• Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform.
• Lead architecture workshops, solution design sessions, and technical roadmap discussions.
• Translate business requirements into technical solutions and implementation plans.
• Advise customers on platform modernization, cloud migration, data governance, and AI initiatives.

Solution Delivery & Optimization:

• Support the successful implementation and adoption of Databricks solutions.
• Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization.
• Identify and resolve technical blockers during customer engagements.
• Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations.

Technical Leadership:

• Serve as a subject matter expert on Databricks capabilities and emerging data & AI technologies.
• Mentor customer teams and Ultra Tendency consultants on architecture patterns and best practices.
• Deliver executive presentations, technical workshops, and enablement sessions.
• Contribute to reusable assets, reference architectures, and practice development initiatives.

Business Development Support:

• Partner with sales and account teams during strategic customer engagements.
• Support technical discovery, solution positioning, and proposal development.
• Provide architecture guidance during pre-sales and proof-of-concept activities.
• Identify opportunities for platform expansion and increased customer value.

Required Qualifications:

• 7+ years of experience in data engineering, cloud architecture, analytics, or related fields.
• 3+ years working with Databricks in enterprise environments.
• Strong expertise in modern data platform architecture and cloud-native solutions.
• Hands-on experience designing and implementing Lakehouse architectures.
• Strong knowledge of:
• Databricks Data Intelligence Platform
• Apache Spark
• Delta Lake
• Unity Catalog
• Data Governance & Security
• Data Warehousing and Lakehouse Design
• ETL/ELT Architectures
• Data Modeling
• Experience with at least one major cloud platform:
• Microsoft Azure (preferred)
• AWS
• Google Cloud Platform
• Proficiency in:
• Python
• SQL
• Spark
• Experience engaging with executive stakeholders and technical leadership teams.
• Excellent communication and presentation skills in English and Korean.

Preferred Qualifications:

• Databricks certifications such as:
• Databricks Certified Data Engineer Professional
• Databricks Certified Solutions Architect
• Databricks Certified Machine Learning Professional
• Experience with:
• Generative AI and LLM solutions
• MLflow
• MLOps
• Data Governance frameworks
• Data Mesh architectures
• Real-time and streaming data platforms
• Experience in consulting or professional services environments.
• Additional language skills in Spanish, Portuguese, Japanese or Chinese are highly desirable.

What Success Looks Like:

• Customers successfully adopt and scale Databricks solutions.
• Complex technical challenges are resolved quickly and effectively.
• Executive stakeholders view you as a trusted advisor.
• Best practices are consistently applied across customer environments.
• Customer satisfaction, platform utilization, and business outcomes improve measurably.

Why Join Ultra Tendency?:

• Work with leading enterprise customers across EMEA & APJ.
• Be part of a rapidly growing Data & AI consultancy.
• Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI.
• Opportunity to shape and expand Ultra Tendency's Databricks practice.
• Continuous learning and certification support.
• Flexible and remote-friendly working environment.
• Competitive compensation package.
• Collaborative, entrepreneurial, and international culture.

Eligibility:

Applicants must currently reside in South Korea and possess the legal right to work in the country. Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position.

About Us:

Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations, including the European Central Bank, Deutsche Telekom, and Europe's largest automotive manufacturer, build and operate large-scale, data-driven platforms.

With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner.

At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support.

We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds.

Data privacy statement: Data Protection for Applicants, Ultra Tendency

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About Ultra Tendency (울트라 텐던시 소개):

울트라 텐던시(Ultra Tendency)는 최신 데이터 플랫폼, 고급 데이터 분석 및 AI 기반 솔루션을 통해 기업의 디지털 트랜스포메이션을 가속화하는 선도적인 데이터 및 AI 컨설팅 기업입니다. 유럽, 미국, 일본, 싱가폴 및 한국 전역의 엔터프라이즈 고객들이 신뢰하는 파트너로서, 당사는 비즈니스 가치를 창출하는 클라우드 네이티브 데이터 아키텍처와 확장 가능한 솔루션을 제공하는 데 특화되어 있습니다.

당사는 데이터브릭스(Databricks) 비즈니스를 확장하고 있으며, 한국 전역의 고객 및 딜리버리 팀과 긴밀히 협력할 역량 있는 데이터브릭스 상주 솔루션 아키텍트(Resident Solutions Architect, RSA)를 모십니다.

The Role (직무 소개):

데이터브릭스 레지던트 솔루션 아키텍트(Resident Solution Architect)로서 지원자님은 엔터프라이즈 고객의 신뢰받는 기술 고문이자 전략적 파트너 역할을 수행하게 됩니다. 조직의 데이터 및 AI 혁신 여정을 안내하며, 데이터브릭스 기반의 최신 데이터 플랫폼을 설계, 구현 및 최적화할 수 있도록 지원합니다.

깊이 있는 기술적 전문성과 뛰어난 이해관계자 관리 역량을 결합하여, 고객이 데이터브릭스 투자를 통해 확실한 비즈니스 가치를 실현할 수 있도록 이끌어 주셔야 합니다. 고객사 팀, 임원진, 엔지니어 및 울트라 텐던시 컨설턴트들과 협력하여 아키텍처 결정을 주도하고, 모범 사례를 전파하며, 데이터브릭스 레이크하우스 플랫폼(Databricks Lakehouse Platform)의 성공적인 도입을 이끕니다.

본 직무는 고객과 매우 긴밀하게 소통하는 포지션으로, 탄탄한 실무 기술 역량과 더불어 임원급(Executive-level) 커뮤니케이션 스킬이 모두 요구됩니다.

Key Responsibilities (주요 업무):

고객 자문 및 아키텍처 (Customer Advisory & Architecture):

• 전략적 데이터브릭스 고객을 위한 수석 기술 고문 역할 수행
• 데이터브릭스 레이크하우스 플랫폼을 활용한 확장 가능한 데이터, 분석 및 AI 아키텍처 설계 및 검토
• 아키텍처 워크숍, 솔루션 디자인 세션

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