Posting record
Open 12+ days
- DKatalis' site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking DKatalis, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- 10+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
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Skills mentioned
About the role
About DKatalis
DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business. DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.
About the role
Lead the design and evolution of our organisation’s data infrastructure, ensuring it operates as a robust, resilient, and highly automated ecosystem. You will be responsible for the technical roadmap of the data platform, mentoring engineers in your squad, and driving cross-functional alignment to deliver high-impact digital products.
What will you do
- Technical Leadership: Leading the design and scaling of data infrastructure; overseeing the architecture of complex ETL pipelines (batch/streaming) to ensure system resilience.
- Data Excellence: Driving standards for data model design, quality frameworks, and high-quality metadata across multiple squads.
- Governance & Security: Implementation of automated data governance tooling and ensuring all squads adhere to privacy policies and procedures.
- Strategic Collaboration: Partnering with Product and Engineering owners to design and refine the data product from concept to implementation.
- Mentorship & Coaching: Mentoring budding engineers in good engineering practices and fostering a culture of constructive public and private feedback.
- Operational Excellence: Continuously improving code quality, product execution, and automation while balancing perfection with timely value delivery.
What you need to have
- You have at least 10+ years of professional experience in software/data engineering, building highly scalable applications.
- Good written and spoken English
- Extensive track record of deploying and maintaining data models in high-traffic production environments.
- Systems: Expert knowledge of big data/distributed systems including Apache Kafka and Airflow
- Cloud: Deep expertise in cloud data warehouses such as BigQuery or Redshift.
- Programming: Mastery of Python , including abstract programming concepts and design patterns.
- Mentorship: Passion for grooming the team collectively to become the better version of themselves.
- Agile Excellence: Experience with Lean/XP practices (TDD, Pair Programming, CI/CD) and working in Agile environments.
- Pragmatism: A mindset that understands the balance between technical perfection and delivering value in a timely manner.
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