Data Architect

IBM Computing; Lisboa; Presencial; EUR 120 000 - 140 000; Tempo integral

Resumo da oferta

IBM Consulting is seeking a Data Architect for its Data & AI practice. You will own platform architecture, lead a delivery team, and manage client relationships to drive end-to-end success on a large insurance engagement.

Responsibilities include leading sprint ceremonies, design of Snowflake objects, data models, and governance, plus implementing Snowflake-AWS integrations and dbt-based pipelines. Strong leadership and cloud experience are essential.

Qualificações

• Extensive experience in data architecture for enterprise clients.
• Hands-on Snowflake architecture, RBAC, and data modeling.
• Proven design of modern data patterns and data sharing.
• Strong client-facing delivery and leadership in consulting.

Responsabilidades

• Own platform architecture and lead a delivery team for a large insurance engagement.
• Manage client relationships and drive end-to-end delivery success.
• Lead sprint ceremonies, planning, and status reporting.
• Define CI/CD pipelines and governance for dbt deployments.

Conhecimentos

Data architecture

Snowflake

SQL

Python

dbt

GitLab CI/CD

AWS

Azure

GCP

Leadership

Ferramentas

Snowflake

dbt

GitLab CI/CD

Descrição da oferta de emprego

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Data Architect within IBM Consulting’s Data & AI practice, you will be aligned to a large statewide insurance client engagement. You’ll serve as the primary technical authority - owning platform architecture, leading a delivery team, and managing client relationships to drive end-to-end delivery success.

Client & Engagement Management

• Primary technical point of contact for client stakeholders and executives.
• Lead sprint ceremonies, engagement planning, and executive status reporting.
• Proactively surface risks, blockers, and scope changes with proposed resolutions.
• Partner with project managers and practice leadership on delivery health.

Solution Architecture & Technical Leadership

• Own Snowflake platform architecture aligned to enterprise and insurance-domain standards.
• Design Snowflake objects, roles, and governance at SnowPro Advanced: Architect depth.
• Architect Bronze/Silver/Gold medallion data models for Snowflake performance and BI consumption.
• Evaluate and adopt Snowflake Cortex AI, Iceberg tables, and data sharing capabilities.
• Lead dbt model design, materialization strategy, macros, packages, and testing.
• Establish GitLab-based CI/CD pipelines for dbt deployment and code governance.
• Define coding standards, documentation practices, and peer review processes.

AWS Infrastructure & Integration

• Architect Snowflake-AWS integrations across S3, IAM, VPC, PrivateLink, and Glue.
• Monitor pipeline SLAs and costs; lead root-cause analysis for data incidents.

Team Leadership & Enablement

• Manage and mentor data engineers and analytics engineers across the engagement.
• Drive enablement on Snowflake, dbt, and GitLab best practices.
• Contribute reusable accelerators and internal knowledge-sharing to the practice.

This position is for Hakkoda, an IBM company, a Snowflake specialist that joined IBM through acquisition last year.

Required technical and professional expertise

• 8+ years in data architecture, data engineering, or enterprise consulting with demonstrated client-facing delivery experience
• Deep hands-on expertise in Snowflake architecture (warehouses, RBAC, security model, advanced features like Streams, Tasks, Dynamic Tables)
• Proven ability to design and implement modern data architecture patterns (Medallion architecture, data sharing, external volumes)
• Team leadership and cross-functional stakeholder management experience in consulting or professional services environments
• Proficiency in SQL, Python, and modern orchestration/transformation tools (dbt, GitLab CI/CD, or equivalent)
• Cloud platform expertise (AWS, Azure, GCP) including object storage, networking, IAM, and secrets management in production environments.

Preferred technical and professional experience

• Snowflake SnowPro Advanced: Architect certification
• Deep cloud platform expertise across AWS, Azure, or GCP including object storage, data integration/ETL tooling, identity and access management, virtual networking, and private connectivity patterns in production environments; infrastructure-as-code experience (Terraform or equivalent)
• Demonstrated client delivery experience in regulated or mission-critical business environments with strong governance, compliance, and risk management requirements

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.