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About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Position Overview
The Data Platform Engineer is responsible for designing, building, and operating a cloud-native data platform built on Snowflake and public cloud infrastructure. This role owns the full lifecycle of the data platform — from cloud environment provisioning and data lake architecture to transformation pipelines, security enforcement, and data sharing — enabling reliable, governed, and scalable data access across the organization.
Key Responsibilities
Provision and manage cloud environments including storage, networking, and IAM across public cloud platforms (AWS / GCP / Azure).
Architect and administer Snowflake as the organization's unified Data Lake and Data Warehouse platform.
Define and enforce Data Access Policies with encryption, IAM, and Snowflake network policies.
Build and maintain dbt transformation models with Git-based version control across staging and production data layers.
Define platform standards, and best practices for data ingestion, transformation, and consumption layers.
Required Skills & Experience
Hands-on experience with at least one major public cloud platform (AWS, GCP, or Azure), covering storage, networking, and IAM.
Strong Snowflake administration skills including RBAC design, Data Sharing, external tables, and Snowpark.
Proficiency in dbt (Core or Cloud) for model development, testing, and documentation.
Experience with Infrastructure-as-Code tooling such as Terraform for cloud resource provisioning.
Experience with pipeline orchestration using Snowflake Scheduling, Apache Airflow, or equivalent tools.
Scope of Ownership
Responsible for the end-to-end design, provisioning, and operation of the cloud data platform — spanning raw ingestion zones through to curated, analytics-ready data layers — ensuring reliability, scalability, and cost efficiency across all environments.
Maintains overall responsibility for the unified data warehouse and lake platform architecture, including performance tuning, resource management, cost governance, and the evolution of the platform as organizational data needs grow.
Owns the transformation layer from design through to production, ensuring data models, testing frameworks, and documentation are accurate, consistent, and fit for consumption across all downstream use cases.
Drives the definition and adoption of platform-wide standards covering data ingestion, transformation, and consumption patterns, and evaluates tooling and architectural decisions as the platform matures.
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Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get To Know Our Team:
The BI‑Infra organization owns Agoda’s core data warehouse architecture and operates the platforms that power analytics and BI across the company (e.g., SQL Server DW, SSAS, Vertica, StarRocks, Hadoop, Superset, Metabase, Tableau, Power BI Report Server). Our mission is to maximize system uptime and provide the best possible data and visualization experience to Agoda users.
The BI‑Infra DBA sub‑team focuses on database and BI platform reliability, performance, and cost efficiency — designing and operating scalable OLAP engines, tuning workloads, defining SLIs/SLOs, and partnering with BI and product teams to keep critical analytics systems healthy at scale.
The Opportunity:
We are looking for a Senior/Staff Data Platform Engineer (BI Infra DBA) to lead the technical direction and operations of our analytics database and BI platforms (StarRocks as the primary analytics engine, Vertica, SQL Server DW, visualization backends, and related services). You will:
Own critical database and BI infrastructure end‑to‑end — architecture, performance, reliability, and security.
Lead multi‑team initiatives such as expanding StarRocks adoption and leading sql server datawarehouse migration, and major upgrades of visualization/BI tools.
Set engineering and operational standards for how we design, deploy, and monitor our BI data platforms, acting as the technical point of contact for BI‑Infra DBA
What You’ll Do:
Design and evolve Agoda’s BI data warehouse architecture across SQL Server DW, Vertica, StarRocks, and related services, focusing on availability, scalability, and cost efficiency.
Lead migration and modernization projects such as:
Migrating workloads off MSSQL DW to more sustainable platforms (Production standby, data lake, StarRocks, etc.).
Decommissioning legacy components as part of the long‑term DW strategy.
Define and implement data and query engine standards (indexing/partitioning patterns, materialized views, retention strategies, governance and access patterns) for BI platforms.
Define SLIs/SLOs for key services (StarRocks, Vertica, Tableau, Superset/Metabase, MSSQL DW) and ensure they are instrumented, monitored, and reviewed regularly.
Lead incident response for BI‑Infra DBA‑owned platforms: diagnose cross‑system issues (Query Engine - Database, VIz tools, Compute, Storage, Network), post‑mortem/root‑cause analysis, and follow‑up improvements.
Partner with BI‑Infra Ops/Dev/Viz and DBDev/DBOps on end‑to‑end reliability — from ingestion pipelines to visualization queries and user traffic patterns.
Perform deep query and workload tuning for high‑impact systems (e.g., finance, supply, whitelabel analytics, experimentation, DQ), reducing CPU/memory/IO and improving latency at scale.
Optimize resource consumption and license/capacity planning for Query Engine – Database and BI tools.
Collaborate with infra and product teams to evaluate and adopt new query engines / database technologies where they materially improve reliability, performance, or cost.
Own upgrade and patching strategies for database and BI stacks (OS, engine, drivers), using canary/blue‑green and rollback plans to minimize downtime.
Improve and extend CI/CD and deployment automation for database objects, jobs, and configuration (GitLab, AWX/Ansible, ArgoCD, etc.).
Build and maintain observability for BI-Infra DBA services (Grafana, Prometheus/SLO dashboards, alerting, Hedwig/NOC integrations) to detect and act on issues proactively.
Implement and maintain secure access patterns for DW and BI platforms (service accounts, RBAC, gMSA, password rotation, SSO/OKTA integration, DR strategy).
Partner with security and data governance teams to remediate vulnerabilities within SLAs, enforce data residency constraints, and ensure that upcoming workloads (e.g., whitelabels) are compliant by design.
Act as technical lead for BI‑Infra DBA initiatives, collaborating closely with BI‑Infra Ops/Dev/Viz, Database Operation/Development, Infra, and BI product teams.
Mentor and coach junior engineers on database performance, reliability, and platform engineering best practices; help raise the bar for design reviews, runbooks, and incident hygiene.
Contribute to knowledge sharing - Documents [Confluence, Agoda Internal Document Framework], internal talks, runbooks and help shape the technical roadmap for BI‑Infra DBA.
Required Qualifications:
5+ years of experience in data engineering / database engineering / DBA / platform engineering, with at least several years owning production OLAP/BI databases at scale.
Strong expertise with StarRocks (or similar modern MPP / columnar systems such as Vertica, ClickHouse, Presto/Trino, Druid, Doris, Impala) and solid SQL Server experience, including:
Query execution internals and tuning (plans, statistics, partitioning, indexing, materialized views).
Capacity planning, storage layout, and backup/restore.
Proven experience operating mission‑critical database or BI services in production:
On‑call incident response, debugging across layers, and post‑mortem/root‑cause analysis.
Designing and maintaining SLIs/SLOs, dashboards, and alerting for latency/availability/error budgets.
Solid understanding of data warehouse and ETL concepts (core DW tables like Fact-Dimension, MSSQL Replication/CDC, Staging patterns, data freshness & consistency, DQ processes).
Hands‑on experience with Linux and Windows in production environments (patching, hardening, troubleshooting resource issues).
Experience with infrastructure automation and CI/CD:
Pipelines and deployment automation (GitLab CI, Ansible/AWX, ArgoCD, or similar).
Git‑based workflows for database objects.
Strong communication and collaboration skills:
Able to represent BI‑Infra DBA as the technical point of contact in cross‑team design and incident discussions at IC4 level.
Comfortable explaining complex trade‑offs to both technical and non‑technical stakeholders.
Preferred Qualifications:
Experience with StarRocks or similar modern OLAP engines, including:
Designing schemas and materialized views for BI workloads.
Operating clusters across multiple environments (DR, performance/capacity testing, cost tuning).
Hands‑on work with Superset, Metabase, Tableau, Power BI Report Server as data consumers — understanding how visualization patterns translate into backend workload and SLOs.
Exposure to Hadoop / Data Lakehouse ecosystems (e.g., Impala, Spark, Hive) and strategies for moving workloads from DW to lake/next‑gen engines.
Experience with observability stacks (Prometheus, Grafana, Hedwig/NOC dashboards and alerting), SRE practices, and especially using AI/LLM-based tools to help with log analysis, anomaly detection, or auto-remediation for database/BI engines — this will be a strong plus.
Prior technical leadership at IC4 level or equivalent, driving multi‑quarter cross‑team projects and raising engineering standards for reliability, performance, and maintainability.
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
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With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Discover what it’s like to help build the fuelling network of the future - check out our Engineering Blog.
Manager, Product Quality Engineering (PQE)
ChargePoint is looking for a Senior Factory Quality Engineer to ensure quality of our Electrical Vehicle Charging equipment. This engineer will be working closely with our contract manufacturing (CM) independently involved in Factory End-To-End Product Quality Control process and management system set up and development. The job scope will be from the initial product design phase throughout the sustaining mass production. He or she will work closely with our Technical Program Management, Manufacturing Engineering, Test Engineering, Supplier Quality, and Reliability Engineering teams, and our Suppliers and Contract Manufacturers. To be successful at ChargePoint, this person must be highly motivated, self-directed, and comfortable working in a loosely structured and fast-paced environment.
Requirements
Location
Thailand
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.
Role Summary
The Cloud Engineer Lead is responsible for leading and governing the bank's cloud infrastructure and platform operations to ensure secure, reliable, scalable, and cost-effective cloud services. This role manages Cloud Operations and DevOps engineers, drives automation and infrastructure standardization, and ensures cloud operations comply with regulatory and security requirements applicable to a Virtual Bank.
What You’ll Do
What We’re Looking For
Why Join CAPCO
We offer
Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
#LI-PW1 #LI-Hybrid
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
About the Role
We're looking for a curious, technically-minded problem solver — not someone to just close tickets.
You'll troubleshoot complex customer issues across voice, messaging, APIs, IoT, and AI products, digging into networking problems, debugging integrations, and analysing logs alongside engineering teams. But this role goes further: we're building an AI-first support model, and as you develop product expertise, you'll help shape it — building bots, automating workflows, and turning repetitive tasks into cron jobs. If you've ever spotted a repetitive task and actually built the fix for it, you'll fit right in. A background in software engineering, networking, or a related technical field (however you got there) is ideal — We care about what you can do, not where you learned it. For all APAC candidates in region this role works Sunday through to Thursday, 9pm - 7am UTC
What You'll Do
Your Toolkit
What We're Looking For
Must-Have
Nice-to-Have
You don’t need to tick every box - if you’re keen to learn that's the box that matters most !
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