Data Architect–Apptio

IBM; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

IBM in Seattle seeks an experienced Data Platform Architect to lead the end-to-end design, implementation, and governance of data platforms supporting data-driven initiatives. You will own data strategy, architecture, integration, security, governance, and performance optimization, collaborating with stakeholders to ensure scalable solutions.

The ideal candidate has 8+ years in data architecture, strong SQL/NoSQL, ETL/ELT and cloud experience (AWS/Azure/GCP), and expertise in data modeling and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 8+ years of experience in a data architect role with a track record of large-scale data solutions.
• Strong knowledge of SQL, NoSQL, ETL/ELT, and cloud services (AWS, Azure, GCP).
• Experience with Hadoop, Spark, and Kafka.
• Proficient in Python, Java, or Scala.
• Expertise in data modeling and data warehousing (star/snowflake, normalization/denormalization).
• Solid understanding of data security and privacy regulations.
• Excellent communication and collaboration skills.

Responsibilities

• End-to-end design, implementation, and management of data platforms.
• Own data strategy, architecture, integration, security, governance, and performance optimization.
• Collaborate with stakeholders; translate complex concepts into actionable guidance.
• Produce standards, documentation, and architecture that supports partner solutions.
• Ensure scalability and monitoring across data platforms.

Skills

SQL

NoSQL

Data Integration

ETL/ELT

AWS

Azure

GCP

Hadoop

Spark

Kafka

Python

Java

Scala

Data Modeling

Data Warehousing

Education

Bachelor's or Master's in Computer Science, Data Science, Engineering

Tools

Tableau

PowerBI

Job description

Your Role and Responsibilities

The Data Platform Architect is responsible for the end-to-end design, implementation, and management of data platforms that support Apptio’s data-driven initiatives. Their ownership areas and delivery responsibilities encompass data strategy, architecture, integration, security, governance, performance optimization, collaboration, documentation, monitoring, support, and scalability. Key outputs include alignment of the data platform architecture, platform design, data modeling, data integration design, standards documentation, architecture to support partner solutions, and performance aligned with the overall goals and objectives for Apptio’s business and vision.

Required Technical and Professional Expertise

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• At least 8 years of experience in a data architect role with a demonstrated track record of developing large-scale data solutions.
• Strong knowledge of various database technologies (SQL, NoSQL), data integration (ETL/ELT application integration) frameworks, and cloud services (AWS, Azure, GCP).
• Experience with big data technologies (Hadoop, Spark) and data streaming services (Kafka).
• Proficient in at least one programming language (Python, Java, Scala).
• Expertise in data modeling and data warehousing principles including an understanding of transactional schema, normalization/denormalization, star schema, snowflake schema, etc.
• Solid understanding of data security and privacy laws and regulations.
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear and actionable guidance for various stakeholders.

Preferred Technical and Professional Expertise

• Experience in AI and machine learning model deployment.
• Familiarity with DevOps practices and CI/CD processes.
• Prior experience in an Agile/Scrum development environment.
• Knowledge of metadata management, data catalog, reporting/BI, visualization tools, and dashboards (Tableau, PowerBI).
• Experience embedding or integrating third-party integration, metadata management, and reporting/BI platforms into other platforms or applications.
• Strong problem-solving abilities and analytical skills.
• Professional certifications related to data architecture (e.g., TOGAF, AWS Certified Solutions Architect) are a plus.