
Databricks · Tokyo
Req ID: FEQ427R279 Location: Tokyo, Japan At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centrici...
Req ID: FEQ427R279
Location: Tokyo, Japan
At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centricity guides us
to build a unified platform that makes data and AI accessible to everyone. In Japan Public Sector, we help central ministries,
agencies, local governments, and public institutions use data and AI to deliver better, more trusted services to citizens.
You will be the senior technical leader for a set of strategic public sector accounts in Japan, using your executive‑level
technical credibility and government expertise to shape and execute their data and AI strategy.
Reporting to: Director, Field Engineering, Japan
The impact you will have
Databricks‑based data and AI platform.
infrastructure, cybersecurity, fraud/waste/abuse).
governance, and auditability.
bureaus, departments, and levels of government.
production‑grade solutions on Databricks.
patterns on the Databricks platform.
What we look for
organizations in Japan.
lead high‑stakes technical discussions in Japanese.
solution design and platforms.
public safety, infrastructure, or cybersecurity).
government projects.
both technical and non‑technical audiences.
If you’re excited about helping Japan’s Public Sector use data and AI to deliver better outcomes – while setting the technical bar
for our GTM in Japan – we’d love to hear from you.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and
over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,
Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific
details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to
ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment
at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or
expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation,
socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's
discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an
applicant on this basis alone.
Req ID: FEQ427R293 Location: Tokyo, Japan As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Retail/CPG field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering. The impact you will have: * You will be a Big Data Analytics expert on aspects of architecture and design * Lead your prospects through evaluating and adopting Databricks * Support your customers by authoring reference architectures, how-tos, and demo applications * Integrate Databricks with 3rd-party applications to support customer architectures * Engage with the technical community by leading workshops, seminars and meet-ups * Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value What we look for: * Pre-sales or post-sales experience working with external clients across a variety of industry markets * Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous * Experience demonstrating technical concepts, including presenting and whiteboarding * Experience designing and implementing architectures within public clouds (AWS, Azure or GCP) * Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. * Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable * Experience working with Enterprise Accounts * Written and verbal fluency in Japanese and English About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Req ID: FEQ427R294 Location: Tokyo, Japan As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Digital Native field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering. The impact you will have: * You will be a Big Data Analytics expert on aspects of architecture and design * Lead your prospects through evaluating and adopting Databricks * Support your customers by authoring reference architectures, how-tos, and demo applications * Integrate Databricks with 3rd-party applications to support customer architectures * Engage with the technical community by leading workshops, seminars and meet-ups * Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value What we look for: * Pre-sales or post-sales experience working with external clients across a variety of industry markets * Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous * Experience demonstrating technical concepts, including presenting and whiteboarding * Experience designing and implementing architectures within public clouds (AWS, Azure or GCP) * Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. * Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable * Experience working with Enterprise Accounts * Written and verbal fluency in Japanese and English About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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 Senior Databricks Consulting Engineer to work closely with our clients and delivery teams across APJ & EMEA. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE As a Senior Databricks Consulting Engineer, 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 & Japanese. 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 German, Spanish, Portuguese, Korean 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 APJ & EMEA. * 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 Japan 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