Streaming Data and Data Integration Architect

Streaming Data and Data Integration Architect

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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

• Lead the design of event‑driven platform integration and develop initial prioritized use cases leveraging the design.
• Hardening of streaming platform and policies to enterprise‑grade readiness.
• Collaborate 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.
• Skilled in creating and optimizing data models and database schemas.
• 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.
• Bachelor’s degree or completion of a college program in a related discipline.
• Must have eligibility for reliability security clearance.
• English is required for this position as the role will be aligned to multi‑national teams where English is the common language.

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 at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full‑time employment, for roles that may be hired as set forth below. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here.

Role Location: British Columbia/Ontario
Annual Salary Range: $90,850 to $140,850

Seniority level: Mid‑Senior level

Employment type: Full‑time

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

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