Data Architect (Databricks), Colombia
Colombia
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDefine vision, roadmap and KPIs for data products on AWS
Translate business requirements into technical epics and prioritize backlogs
Oversee product architecture on AWS data services for analytics and GenAI
Partner with security and governance teams on access controls, privacy and data quality
Lead agile delivery cycles, user stories and acceptance criteria
From the employer’s posting
Define the vision, roadmap, and KPIs for data products
translate business requirements into technical epics, and prioritize the backlogs
Oversee product architecture alignment on AWS data services
Partner with Security and Data Governance teams to enforce data access controls, privacy regulations (LGPD/GDPR/HIPAA), data lineage, and data quality standards.
Lead agile development cycles, defining clear acceptance criteria, managing user stories
What you’ll bring
All qualificationsCore experience
- Experience specifically managing data platforms, ETL pipelines, or analytics products.
Qualification wording
Experience specifically managing data platforms, ETL pipelines, or analytics products.
Tools in this posting
- SQL
- AWS
- Databricks
- Redshift
- S3
- SageMaker
Source — Tool mentions in context
- Agile & Delivery: Strong experience leading cross-functional squads using Scrum/Kanban, backlog management tools (Jira, Linear), and defining clear user stories. - Data Skills: Proficiency in SQL and data visualization tools, with the ability to query data directly to validate product performance and metrics. - Business Acumen: Demonstrated track record of converting complex technical requirements into actionable business outcomes and executive-ready communications.
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. We are looking for a Data Architect with strong AWS expertise to drive the strategy, development, and execution of our enterprise data platforms and analytics products. In this role, you will bridge the gap between business stakeholders, data engineers, and data science teams to transform raw data assets into scalable, high-value data products. You will leverage cloud-native AWS services to manage the product lifecycle from discovery to rollout, ensuring high data quality, governance, and business impact. Responsibilities:
Responsibilities: - Product Strategy & Roadmap: Define the vision, roadmap, and KPIs for data products (data pipelines, data lakes, analytics dashboards, and AI/ML data features) on AWS. - Stakeholder Alignment & Discovery: Work with business leaders, domain experts, and engineering teams to identify high-impact use cases, translate business requirements into technical epics, and prioritize the backlogs.
- Stakeholder Alignment & Discovery: Work with business leaders, domain experts, and engineering teams to identify high-impact use cases, translate business requirements into technical epics, and prioritize the backlogs. - AWS Data Ecosystem Management: Oversee product architecture alignment on AWS data services (e.g., S3, Glue, Redshift, Athena, Bedrock/SageMaker) to support scalable analytics and GenAI workloads. - Data Governance & Quality: Partner with Security and Data Governance teams to enforce data access controls, privacy regulations (LGPD/GDPR/HIPAA), data lineage, and data quality standards.
- Experience specifically managing data platforms, ETL pipelines, or analytics products. - AWS Technical Literacy: Solid understanding of the AWS data stack (S3, Redshift, Glue, EMR, Athena, QuickSight, IAM) and cloud-native data architecture patterns (Data Lake, Lakehouse, Data Mesh). - Agile & Delivery: Strong experience leading cross-functional squads using Scrum/Kanban, backlog management tools (Jira, Linear), and defining clear user stories.
Nice to Have: - Databricks Certified Consultant (Associate/Professional); DBR to EMR on AWS migration experience - AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner
- Databricks Certified Consultant (Associate/Professional); DBR to EMR on AWS migration experience - AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner -
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 2026 · today
- Recorded sightings
- 2
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
We are looking for a Data Architect with strong AWS expertise to drive the strategy, development, and execution of our enterprise data platforms and analytics products. In this role, you will bridge the gap between business stakeholders, data engineers, and data science teams to transform raw data assets into scalable, high-value data products. You will leverage cloud-native AWS services to manage the product lifecycle from discovery to rollout, ensuring high data quality, governance, and business impact.
Responsibilities:
- Product Strategy & Roadmap: Define the vision, roadmap, and KPIs for data products (data pipelines, data lakes, analytics dashboards, and AI/ML data features) on AWS.
- Stakeholder Alignment & Discovery: Work with business leaders, domain experts, and engineering teams to identify high-impact use cases, translate business requirements into technical epics, and prioritize the backlogs.
- AWS Data Ecosystem Management: Oversee product architecture alignment on AWS data services (e.g., S3, Glue, Redshift, Athena, Bedrock/SageMaker) to support scalable analytics and GenAI workloads.
- Data Governance & Quality: Partner with Security and Data Governance teams to enforce data access controls, privacy regulations (LGPD/GDPR/HIPAA), data lineage, and data quality standards.
- Execution & Product Delivery: Lead agile development cycles, defining clear acceptance criteria, managing user stories, and ensuring timely delivery of data solutions.
- Adoption & Value Measurement: Track usage metrics, adoption rates, and ROI of data products to continuously optimize user engagement and business value.
Requirements:
- Experience specifically managing data platforms, ETL pipelines, or analytics products.
- AWS Technical Literacy: Solid understanding of the AWS data stack (S3, Redshift, Glue, EMR, Athena, QuickSight, IAM) and cloud-native data architecture patterns (Data Lake, Lakehouse, Data Mesh).
- Agile & Delivery: Strong experience leading cross-functional squads using Scrum/Kanban, backlog management tools (Jira, Linear), and defining clear user stories.
- Data Skills: Proficiency in SQL and data visualization tools, with the ability to query data directly to validate product performance and metrics.
- Business Acumen: Demonstrated track record of converting complex technical requirements into actionable business outcomes and executive-ready communications.
- Databricks Certified Consultant (Associate/Professional); DBR to EMR on AWS migration experience
-
AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner
-
Certified Scrum Product Owner (CSPO) or Pragmatic Institute Certification
Employment type
Homeoffice
Source details
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- Pay
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- Location & working pattern
Colombia
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