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Capco

Technical Data Lead

Capco is hiring a Technical Data Lead in Singapore, Singapore. Level rates it ; you can apply on Capco.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Databricks.
  • Level classifies it as a lead role.
  • Level lists 702 other open roles at Capco.

AI in this role

databricks

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 over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with deep industry expertise to deliver end-to-end, data-driven solutions across banking, payments, capital markets, wealth and asset management, insurance, and energy.

Capco’s innovation is driven through its collaborative culture, Innovation Labs, and commitment to empowering diverse talent to thrive.

 

Role Summary

The Tech Lead plays a key role in leading the design and delivery of scalable, secure, and high-performing technology solutions. This is a hands-on leadership role combining strong software engineering and solution design skills with a solid understanding of data and modern data platforms.

Working across the Software Development Lifecycle (SDLC), the Tech Lead works closely with business, product, architecture, and engineering teams to translate requirements into practical technical solutions, guide implementation, and ensure high-quality delivery within Agile environments.

 

What You’ll Do

  • Lead technical design and delivery across applications, integrations, and data-driven solutions
  • Translate business requirements into scalable, maintainable technical solutions
  • Provide hands-on technical leadership, including design and code reviews, troubleshooting, and implementation guidance
  • Define and apply engineering standards, architectural patterns, and development best practices
  • Collaborate with business, product, architecture, engineering, and infrastructure teams throughout the delivery lifecycle
  • Design and build solutions across cloud, on-premise, and hybrid environments
  • Guide application and integration design using APIs, microservices, messaging, and event-driven approaches
  • Apply strong data fundamentals including data modelling, ETL/ELT, data pipelines, and data integration
  • Ensure solutions meet security, performance, scalability, availability, and reliability requirements
  • Identify technical risks, dependencies, and constraints and drive practical resolution
  • Support Agile delivery through estimation, backlog refinement, solution clarification, and technical decision-making
  • Work with stakeholders to balance delivery priorities, technical quality, and long-term maintainability

 

What We’re Looking For

  • Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a related field
  • 10+ years of experience in software engineering or technology delivery, including technical leadership responsibilities
  • Strong hands-on software development background with experience leading engineering teams
  • Strong knowledge of modern application architecture, distributed systems, APIs, and microservices
  • Good understanding of data architecture, data modelling, ETL/ELT, data pipelines, and data integration
  • Experience with cloud platforms and modern engineering practices
  • Experience with relational and/or NoSQL databases and strong SQL fundamentals
  • Strong understanding of security, scalability, availability, performance, and other non-functional requirements
  • Experience with DevOps, CI/CD, source control, automated testing, and code quality practices
  • Strong problem-solving skills with the ability to make pragmatic technical decisions
  • Excellent communication and stakeholder management skills across technical and non-technical audiences

Additional Skills & Experience

  • Experience with modern data platforms or technologies such as Kafka, Spark, Databricks, Snowflake, or equivalent is an advantage
  • Experience within Financial Services, Banking, Insurance, Telecommunications, E-commerce, or Enterprise Technology environments
  • Knowledge of containerization, orchestration, and cloud-native technologies
  • Exposure to data governance, data quality, lineage, and security principles
  • Experience leading or mentoring software engineers and data engineers

 

Why Join CAPCO

  • Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry
  • Work in a collaborative, flat, and entrepreneurial consulting culture
  • Access continuous learning, training, and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy

 

We offer:

  • A work culture focused on innovation and creating lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • An agile, diverse, entrepreneurial, inclusive, meritocratic culture

 

 

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-JS1

#LI-Hybrid

 

How we rate this

Technical Data Lead at Capco rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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