Data Architect + Boomi

Description

 Data Architect + Boomi

About the Role: We are looking for a highly skilled Data Architect to design and build modern data architecture foundations for our customers. This role involves supporting real-time, high-scale (Big Data) data pipelines and ML/AI use cases, including Generative AI. The ideal candidate will have extensive experience in data engineering, data architecture, and cloud-native environments.

Key Responsibilities:

• Design and build modern data architecture foundations for our customers, supporting real-time, high-scale (Big Data) data pipelines and ML/AI use cases, including Generative AI.
• Map customers' data needs and lead the selection and implementation of key technologies across the stack: data lakes (e.g., Iceberg), databases, ETL/ELT tools, orchestrators, data quality and observability frameworks, and statistical/ML tools.
• Design and build a cloud-native, cost-efficient, and scalable data infrastructure from scratch, capable of supporting rapid growth, high concurrency, and low-latency SLAs (e.g., 1-second delivery).
• Lead design reviews and provide architectural guidance for all data solutions, including data engineering, analytics, and ML/data science workflows.
• Set high standards for data quality, integrity, and observability. Design and implement processes and tools to monitor and proactively address issues like missing events, data delays, or integrity failures.
• Collaborate cross-functionally with internal and customer teams to ensure alignment between infrastructure, customer goals, and real-world constraints.
• Mentor engineers and promote best practices around data modeling, storage, streaming, and observability.
• Stay up-to-date with industry trends, evaluate emerging data technologies, and lead POCs to assess new tools and frameworks — especially in the domains of Big Data architecture, ML infrastructure, and Generative AI platforms.

Requirements:

• At least 10 years of experience in a data engineering role, including 2+ years as a data architect with ownership over company-wide architecture decisions.
• Proven experience designing and implementing large-scale, Big Data infrastructure from scratch in a cloud-native environment (GCP preferred).
• Excellent proficiency in data modeling, including conceptual, logical, and physical modeling for both analytical and real-time use cases.
• Strong hands-on experience with:
• Integration tools (e.g., Boomi)
• Data lake and/or warehouse technologies, with Apache Iceberg experience required (e.g., Iceberg, Delta Lake, BigQuery, ClickHouse)
• ETL/ELT frameworks and orchestrators (e.g., Airflow, dbt, Dagster)
• Real-time streaming technologies (e.g., Kafka, Pub/Sub)
• Data observability and quality monitoring solutions
• Excellent proficiency in SQL, and in either Python or Spark.
• Experience designing efficient data extraction and ingestion processes from multiple sources and handling large-scale, high-volume datasets.
• Demonstrated ability to build and maintain infrastructure optimized for performance, uptime, and cost, with awareness of AI/ML infrastructure requirements.
• Experience working with ML pipelines and AI-enabled data workflows, including support for Generative AI initiatives (e.g., content generation, vector search, model training pipelines) — or strong motivation to learn and lead in this space.
• Excellent communication skills in English, with the ability to clearly document and explain architectural decisions to technical and non-technical audiences.
• Fast learner with strong multitasking abilities; capable of managing several cross-functional initiatives simultaneously.

Preferred Skills:

• Experience leading POCs and tool selection processes.
• Familiarity with Databricks, LLM pipelines, or vector databases is a strong plus.

Why Join Us:

• Opportunity to work on cutting-edge data integration projects.
• Collaborative and inclusive work environment.
• Competitive salary and benefits package.
• Professional growth and development opportunities.

Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors.  With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide. We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future. Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization.

To Learn More, Visit: www.matrix-ifs.com

EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.