[Job - 31827] Senior Data Architect, Colombia
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-09-30). Last seen at its source just now.
We have tracked this listing since 30 Sep 2026 (1 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Colombia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–102k/yr
Middle 50% of 9 listings that do state pay — Engineering · all levels · Colombia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 1d ago · last seen just now
The listing
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
As a Data Architect Senior, you turn ideas into reliable, well-engineered data systems using current technology. This role is central to improving how dependable our data systems are and to making cross-team work go more smoothly. You guide newer team members as they grow in their roles, partner with different teams to make sure the data setup works well for everyone, and explain complex data concepts in simple terms. You are the person who takes our data capabilities to the next level while keeping the team learning and thinking in new ways.
This is a leadership-level position and one of the practice's hardest profiles to fill, because it requires deep, current hands-on technical expertise combined with the maturity to guide teams through change and to represent the data architecture in strategic conversations.
Responsibilities:
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Architecture Vision: Define and communicate the long-term data architecture vision, aligned with business strategy.
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Technology Selection: Lead the evaluation and selection of technologies, frameworks, and standards used to implement the data architecture.
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Standards & Governance: Establish and promote best practices for data management and governance across the organization.
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Stakeholder Collaboration: Work with leadership teams and stakeholders to ensure the data architecture meets business needs, explaining technical concepts in accessible terms.
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Technical Problem-Solving: Identify and anticipate complex technical challenges, proposing innovative and effective solutions.
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Technical Guidance: Provide advanced technical guidance and support to the data development and architecture teams.
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Compliance: Ensure the data architecture complies with data security regulations and standards.
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Mentorship: Mentor and empower team members by sharing knowledge and experience, guiding newer members as they grow into their roles.
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Strategy Execution: Actively participate in defining and executing the organization's data strategy.
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Partner Relationships: Develop and maintain strategic relationships with technology partners and suppliers.
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Representation: Represent the data architecture in internal and external technical and strategic forums.
Requirements:
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Experience with cloud platforms, preferably Azure Cloud Services
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Experience with Snowflake data warehousing
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Experience with DBT for data transformation
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Experience with data modeling, ELT design, and performance tuning
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Advanced English proficiency, spoken and written, to engage directly with international stakeholders
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Proven experience mentoring and guiding technical teams through change
Nice to Have:
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Snowflake certification
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Experience with data governance and security