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SYSTEM ARCHITECT (DATA + MULESOFT + AWS )

Overview Of Role

- Design and deliver scalable, enterprise-grade data solutions across AWS and Databricks, covering end-toend

architecture, ingestion, data modeling, transformation, orchestration, APIs, and downstream integrations.
- Lead the development and modernization of high-volume, business-critical data products and platforms,

translating complex business and technical requirements into secure, scalable, and maintainable solutions.
- Establish architectural standards, coding practices, reusable frameworks, and engineering best practices

to drive consistency, quality, and maintainability.
- Define robust orchestration, monitoring, and operational patterns to ensure performance, scalability,

reliability, resilience, and cost optimization.
- Provide hands-on technical leadership across solution design, architecture reviews, code reviews,

development, debugging, and complex technical decision-making.
- Lead cross-functional delivery across Product, Business, Architecture, Data, API, QA, and Platform teams

within Agile environments.
- Drive data quality, governance, observability, security, and production readiness across data products and

platforms.
- Mentor engineers and technical leads while promoting engineering excellence and continuous

improvement.

Required Qualifications

- 10+ years of experience in Data Engineering / Data Architecture, including data modeling, database

design, ETL/ELT, data ingestion, legacy system migration, and processing large-scale datasets.
- 3+ years of hands-on experience with Databricks, Apache Spark, and PySpark, including Spark

performance optimization.
- Strong hands-on experience with AWS services including S3, Lambda, Aurora/RDS, Step Functions, and

CloudWatch.
- Strong SQL and Python development skills with proven experience in developing, debugging, and

optimizing data solutions.




- Experience designing and implementing robust data orchestration workflows, including scheduling,

dependencies, retries, error handling, monitoring, and operational resilience.
- Strong understanding of software engineering practices, including coding standards, code reviews,

testing, reusable frameworks, and development best practices.
- Experience with REST APIs and API integrations, including request/response flows, integration patterns,

and downstream data integrations.
- Working knowledge of MuleSoft or similar API and integration platforms.
- Experience with CI/CD practices and tools such as Azure DevOps or equivalent platforms.
- Strong understanding of data quality, validation, reconciliation, monitoring, and production support

practices.
- Experience creating, reviewing, and maintaining functional and technical documentation.
- Solid understanding of Agile methodologies, including sprint planning, backlog refinement, and iterative

delivery. 3
- Proven experience working with and leading cross-functional teams comprising Data Engineering, API, QA,

Architecture, Product, and Business stakeholders.
- Proven experience leading, mentoring, and providing technical guidance to data engineers and technical

leads.
- Excellent verbal and written communication skills, with the ability to effectively communicate complex

technical concepts to both technical and business stakeholders.

Preferred Qualifications

- Understanding of AWS or similar cloud infrastructure optimization and cost management, including

evaluating compute, storage, and processing options.
- Data engineer with API development experience
- Experience with Redis or any in-memory database
- Relevant AWS Certifications in cloud computing, data engineering, and/or solutions architecture.
- 8 + years of experience writing and maintaining infrastructure code.
- 8 + years of experience using any automation tools and ADO CI/CD pipelines

📌 SYSTEM ARCHITECT (DATA + MULESOFT + AWS ) (Bengaluru)
🏢 Bridgestone Americas
📍 Bengaluru