About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

We're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving.

About the role

We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment.

You will work on high-throughput APIs/services in Go, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.

What you will do

• Design, build, and maintain backend services and data platform components.

• Develop and optimize streaming and batch data workflows.

• Improve reliability and operability (monitoring, alerting, incident prevention/recovery).

• Improve data quality and consistency through schema/contracts and validation mechanisms.

• Diagnose and resolve production issues across service and data layers.

• Drive performance and cost optimization initiatives for large-scale workloads.

• Collaborate across teams to deliver roadmap milestones.

• Mentor engineers and contribute to engineering standards and review culture.

About you

[Minimum qualifications]

• 6+ years of software engineering experience in backend/data-intensive systems.

• Strong proficiency in Go (required).

• Strong proficiency in Python (required).

• Strong proficiency in SQL (required).

• Hands-on experience with distributed data systems (e.g., Kafka, Spark/Databricks).

• Experience operating services/pipelines in cloud production environments (GCP preferred).

• Solid understanding of reliability practices: observability, on-call, incident response.

• Strong communication and ownership; able to drive ambiguous projects to completion.

[Preferred qualifications]

• Experience with Databricks/Delta Lake/Lakehouse architectures.

• Experience with Kubernetes/GKE and Terraform/IaC.

• Experience with data governance (lineage, access control, PII handling).

• Experience with identity/profile systems (entity resolution, merge logic).

• Experience with FinOps/cost optimization for platform workloads.

• Scala/Java experience for Spark ecosystem optimization is a plus.

[Language]

Fluent in English.

Why join us

• Work on high-impact, business-critical data backend systems.

• Own real production outcomes across scale, quality, and cost.

• Collaborate with strong cross-functional teams in AI + data.

• Grow technical leadership while staying hands-on.

Open to overseas candidates/Visa Support
This position is open to based in Taipei, Taiwan or Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-AK1

Ultra Tendency is a global data and AI consultancy with teams across Europe, Asia, and the Americas. As we continue expanding our presence in Japan, we are looking for a Senior Data Engineer – Databricks to join our growing Tokyo team and contribute to the development of scalable data platforms for international clients. 

In this role, you will work closely with engineers, data scientists, and architects to design and implement robust data solutions using modern cloud and data technologies. 

Competitive compensation will be provided in line with the Japanese technology market, based on experience and qualifications. 

YOUR RESPONSIBILITIES 

• Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake. 
• Develop and optimize batch and streaming data workflows supporting analytics, machine learning, and business intelligence applications. 
• Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready data solutions. 
• Improve performance and cost efficiency of data processing workloads within the Databricks environment. 
• Support the implementation of best practices for data quality, governance, and security. 
• Contribute to knowledge sharing within the team and support the development of junior engineers. 

YOUR EXPERIENCE 

• Strong experience with Databricks and Apache Spark (PySpark, SQL or Scala). 
• Experience building data platforms on major cloud providers (AWS, Azure, or GCP). 
• Solid understanding of distributed data processing, data modeling, and performance optimization. 
• Experience with CI/CD pipelines and version control tools such as Git. 
• Familiarity with orchestration frameworks such as Airflow or Databricks Workflows. 
• Strong communication skills in English and Japanese for collaboration in an international environment. 
• A collaborative mindset and interest in building reliable, scalable data systems. 

WHAT WE OFFER 

• Competitive salary aligned with Japanese market standards. 
• Hybrid work options, combining office and remote work (candidates must be based in Japan). 
• The opportunity to collaborate with experienced colleagues in an international engineering environment. 
• Exposure to large-scale data and AI projects for global organizations. 
• Professional development opportunities, including certifications and continuous learning resources such as Udemy Business. 
• Regular feedback cycles and structured performance reviews to support your career development. 
• A collaborative culture that values knowledge sharing and long-term professional growth. 
• Team events and opportunities to connect with colleagues globally. 

Interested? 

We would be happy to hear from you. Please apply or reach out if you would like to learn more about the role and our team in Japan. 

FEQ127R214

As a Partner Solutions Architect you will work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the Senior Director, APJ PS.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Engage with the partner technical community by leading workshops, seminars, and meet-ups
• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
• Show expertise by producing creative technical solutions and blog post

What we look for:

• 5+ years of pre-sales or post-sales experience working with external clients or partners 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
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience developing architectures within a public cloud (AWS, Azure, or GCP)
• Coding experience in SQL, Python, Scala, or Java
• Expertise in at least one of the following:
• Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Written and verbal level fluency in Japanese and English

Benefits

• Benefits allowance
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

CSQ327R31

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on invesment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan

The impact you will have:

• You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers.
• Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts.
• Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks. 
• You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations. 
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise. 
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals.
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs. 
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.

What we look for:

• 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers.
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• A understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets

Req: CSQ127R172
Location: Tokyo, Japan

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The Impact You Will Have

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What We Look For

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Strong experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.
• Written and spoken proficiency in both Japanese and English 

CSQ227R244

As a Resident Solutions Architect (RSA) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Director, Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• Experience with Big Data Technologies or Data science in a customer-facing post-sales, technical architecture or consulting role.
• Comfortable writing code in SQL, with proficiency in either Python or Scala.
• Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP).
• Experience with developer operations and continuous integration/delivery for production deployments.
• Experience with technical project delivery - managing scope and timelines, preferably in data platform project
• Ability to communicate and collaborate in Japanese and English fluently to deliver domestic and overseas projects.

P-1529

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager.

The impact you will have:

• Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs.
• Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback.
• Help the support team with detailed troubleshooting guides and runbooks.
• Contribute to automation and tooling initiatives to streamline daily troubleshooting.
• Partner with the engineering team and spread awareness of upcoming features and releases.
• Identify and contribute supportability features back into the product.
• Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests.
• Participate in weekend and weekday on-call rotation.

What we look for:

• • 7+ years of industry experience
  • Experience with supporting Java, Scala or Python-based applications.
  • Expert in scripting using Python or Shell.
  • Comfortable with black box troubleshooting.
  • Experience in troubleshooting issues related to the "Distributed Big Data Computing" environment.
  • Experience with SQL-based database systems.
  • Experience in Linux and network troubleshooting is required.
  • Experience with AWS, Azure or GCP related services.
  • A bachelor's degree in Computer Science or a related field is required

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

FEQ227R42

DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。

仕事の内容

プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。

あなたがもたらす影響：

• あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。
• 見込み客をDatabricksの評価と採用へ導きます。
• リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。
• 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。
• ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。
• 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。
• 顧客のユースケースのディスカバリー
• 既存顧客のDatabricks環境の最適化
• Databricks製品改善のための活動

必要な条件/経験:

• 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験
• 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験
• パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験
• エンタープライズアカウントとの業務経験
•  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること
• データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。

望ましい経験/スキル:

• データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい
• Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験
• Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験
• データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験

Req ID: FEQ427R123
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 Financial Services 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 Senior 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

Req ID: FEQ427R295
Location: Osaka, Japan

As a Pre‑sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You are passionate about data and AI, love getting hands‑on with technology, and enjoy communicating its value to both technical and non‑technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof‑of‑concept phases, and act as a trusted advisor to our customers on their data and AI strategy. You will help customers realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem. You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market. 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

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

Overview
As a Solutions Engineer, you would oversee integrations with advertisers, exchanges and ecosystem partners using InMobi’s products to develop innovative solutions and overcoming technical obstacles presented by customers. You would be responsible for guaranteeing the technical aspects of the assigned integrations (both new and ongoing) by providing necessary requirements and technical guidance. You will actively shape the business with your technical expertise, customer focus and passion using InMobi advertising solutions. 

The impact you'll make

• Engage directly with partners, clients, and internal stakeholders to provide pre & post-sales advisory using technical expertise
• Provide an outstanding customer experience for all accounts, by setting expectations and anticipating and resolving client technical issues in a timely manner.
• Use your deep technical understanding of our products to be able to analyse and troubleshoot customer issues
• Act as internal liaison between Regional Sales and Product & Engineering teams along with managing client expectation and communication.
• Manage customer product deployments across internal and external stakeholders.
• Identify, evaluate, and communicate key market and customer requirements from the field to Product/Engineering teams.
• Keep up with industry best practices and products and become a key resource for all client technical issues.
• Demonstrate a passion for developing and deploying best practice technical sales and support processes in a high-growth environment.

The experience you'll need

• Bachelor’s degree in computer science, Software Engineering, or a closely related field
• Coding experience with at least one object-oriented programming skill: Java, C++, C# (.NET), or Scala and having some experience with scripting languages like Python, JavaScript, HTML5 
• Experience working with relational databases and writing SQL queries
• Experience pushing code to a repository, whether in a previous role or personal projects.
• Experience working with and having an understanding on the usages of APIs.
• 1-2 years of experience working within the digital advertising industry is a plus.
• Must have 1+ years of client-facing experience, working directly with clients.
• Strong problem-solving and conceptual thinking skills, with ability to thrive in ambiguity 

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 3+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

About Paidy, Inc.

Paidy is Japan's pioneer and leading BNPL service with the mission to spread trust through society and to give people room to dream.

Paidy offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences. Paidy uses proprietary models and machine learning to underwrite transactions in seconds and guarantee payments to merchants. Paidy increases revenue for merchants by reducing the number of incomplete transactions, increasing conversion rates, boosting average order values, and facilitating repeat purchases from consumers.

Paidy has reached an agreement to join PayPal, the global payments company. Paidy will continue to operate its existing business, maintain its brand and support a wide variety of consumer wallets and marketplaces by providing convenient and innovative services.

Paidy continues to innovate to make shopping easier and more fun both online and offline. For more information, please visit http://www.paidy.com.

About Position 

The position is within the risk engineering team, which is tasked with designing, building, maintaining and operating the set of services that underwrites Paidy’s transactions. These services use machine learning models to predict credit risk and statistical models to detect, block and alert on fraudulent transactions in milliseconds. Recently our scope of work expanded to include designing, building and maintaining new internal web application tools that empower internal teams to experiment with and implement better fraud detection/prevention methods, credit risk policies, and collections policies to further maximize our revenue. We enjoy using Scala in a functional and pragmatic way to ease the burden of delivering quality backend software. We prefer simple solutions that allow us to iterate quickly and deploy them to production often. We value ownership and trust each other to deliver quality work in a timely manner.

Key Role and Responsibilities

• Work in cross-functional teams that include product owners, data scientists and other business domain engineers to deliver new features.
• Periodically evaluate if our services are meeting our security, maintainability, observability and reliability standards, capture any deficiencies and work with the rest of the team to address them.
• Work directly with product owners and stakeholders to ensure that new requirements will not degrade our platform’s performance, reliability or security.
• When assigned as a feature team lead, design and build consensus around new solutions architecture, build the technical implementation roadmap and work with the team to execute it.

Skills and Requirements

• Required to have:
  • Knowledge of Functional Programming and/or Scala and its ecosystem
  • Understanding of software architecture and design with the ability to align the overall service architecture
  • Experience with building distributed systems, scalability and low latency software
  • Experience with maintaining and further developing existing code bases
  • Ability to work with non-experts, discuss their needs and help them formulate their requirements.
  • Ability to explain complex technical concepts to non-experts
  • Showsinterestintheorganization's engineering strategy, product development strategy and how that aligns to the overall business strategy
  • Ability to define task outlines and deliverables
  • Demonstrates a sense of urgency when required
  • Ability to manage some ambiguity and exercises good judgment when needed
  • Ability to give and receive constructive feedback tactfully upstream and downstream
  • Excellent communication skills, ability to interact effectively with multidisciplinary teams
• Big plus if you have experience with:
  • Cassandra, Elasticsearch, Kafka and Postgres
  • CircleCI, AWS, Fargate, Terraform, Datadog
  • Modern front end technologies
  • Event Sourcing and CQRS
  • Working on a payment platform or other fintech field
• Paidy team will ask about your user experiences with Paidy Apps during the interview. Please download Paidy App and try it out!
  • iOS: https://apps.apple.com/jp/app/paidy/id1220373112
  • Android: https://play.google.com/store/apps/details?id=com.paidy.paidy&hl=en&gl=US

For those who are not able to downloadPaidyApp,duetotheregional restrictions, please be advised that you download the similar App, such as Klarna, Afterpay, Affirm and so forth, and come up with your opinions on these applications and services.

• Please note that you must be eligible to work in Japan.

What We Offer You

• Diversified team with 221+ colleagues from 37+ countries
• Exciting work opportunities in a rapid-growing organization
• Cross-functional collaboration
• Flexible work-from-home arrangement
• Competitive salary and benefits

Paidy Values

Be a winner / 勝ちにこだわる

• Beat expectations / 常に期待値を超える
• Display surprising speed / 人をスピードで驚かす
• Embrace risk / リスクを恐れない

Own it and deliver / 結果を出す

• Commit to what, when and how to deliver/ 目的・やり方・期限にコミットする。
• Own the actions to deliver / 結果のためのアクションにこだわる
• Embrace conflict when needed to deliver results / 必要なら対立・衝突も恐れない

Play an integral role / 大切なピースになる

• Make an irreplaceable contribution to our business / 替えの効かない貢献をする
• Embrace and bridge differences in language and culture / 皆が言語と文化の架け橋にな
  る
• Raise the bar / スタンダードを上げ続ける