Streaming Data and Data Integration Architect

Streaming Data and Data Integration Architect Join to apply for the

Streaming Data and Data Integration Architect

role at

Accenture .

The Role:

As a Streaming Data and Integration Architect, you’ll be instrumental in designing the event‑driven integration platform to support data integration in the overall solution. In collaboration with Enterprise Architects, you will design patterns, schema governance, and replication standards to be leveraged by the broader program delivery.

You Are:

A strong collaborator who thrives in cross‑functional teams and enjoys interacting with diverse stakeholders.

An excellent communicator, capable of effectively conveying complex technical concepts to both technical and non‑technical audiences, including Enterprise Architects and analytics professionals.

A transformational leader who proactively shares ideas, champions best practices, and helps elevate the skills of the team.

Strong technical skills in event‑driven architecture and platform integration.

Familiarity with Agile and Scrum methodologies for project delivery.

Experience in designing and developing data solutions.

The Work:

Must lead the design of event‑driven platform integration, and development of initial prioritized use cases leveraging the design.

Hardening of streaming platform and policies to enterprise‑grade readiness.

Collaboration with Enterprise Data Architecture Lead on design patterns, schema governance, and replication standards.

Develop and maintain documentation on the platform including runbooks, SLAs, and governance framework.

Here’s what you need:

Minimum 5 years experience with AWS (Kinesis/MSK, Glue, Lambda), Oracle GoldenGate, Solace, and data governance in hybrid architectures.

Minimum of 2 years’ experience designing scalable architecture and expertise with cloud infrastructure (AWS, Azure, or GCP).

Minimum of 1 year experience building DevOps solutions, and customizing the ecosystem of services for enablement, including continuous integration, delivery, and monitoring.

Minimum of 2 years’ experience presenting architecture to technical and non‑technical audiences.

Proficiency in Python, SQL or another language such as Java, Go, or C/C++.

Knowledge of open‑source microservices architecture such as Docker, Kubeflow, or Kubernetes.

Must be skilled in creating and optimizing data models and database schemas.

Have expertise in integrating data from diverse sources and managing ETL workflows.

Proficiency in cloud platforms, big data frameworks, and ensuring data governance and security in cloud environments is essential.

Bonus points if you have:

Graduate degree in Computer Science (e.g., Applied Mathematics, Statistics, Economics, Engineering, and Physics).

Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps.

Drive to learn and master new technologies and techniques.

Compensation:

The base pay range is $90,850 to $140,850 (British Columbia/Ontario). Salary may vary based on location, skill set, and experience. Benefit information is available upon request.

Role Location: British Columbia/Ontario

Employment type: Full‑time

Seniority level: Mid‑Senior level

Job function: Engineering and Information Technology; Industries: Business Consulting and Services.

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