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EY - GDS Consulting - AI AND DATA - Senior Platform Architect- Senior

EY - GDS Consulting - AI AND DATA - Senior Platform Architect- Senior

5 - 10 years

27 - 32 Lacs

kochi

Posted:2 weeks ago| Platform:

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Skills Required

project management business communication data architecture data engineering stakeholder management quality process continuous integration kubernetes ci/cd microsoft azure docker lambda expressions gcp devops platform architecture terraform aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your key responsibilities

Lead the architecture and design of modern cloud-based data platforms (Data Lakes, Data Warehouses, Lakehouses).

Define end-to-end architecture including ingestion, storage, processing, orchestration, security, and consumption layers.

Partner with stakeholders across engineering, analytics, security, and product to translate business needs into scalable architecture solutions.

Ensure platform scalability, reliability, and performance while optimizing cost.

Provide thought leadership and guide development teams on cloud best practices, tools, and frameworks.

Govern architecture standards, patterns, and reusable components.

Design and implement CI/CD pipelines, data lineage, and metadata management frameworks.

Oversee the integration of various data sources including structured, semi-structured, and streaming data.

Ensure compliance with data governance, privacy, and security standards (GDPR, HIPAA, etc.).

Conduct regular design reviews and provide technical guidance to delivery teams.

Stay up to date on latest trends in cloud data platforms and emerging tech (Delta Lake, Iceberg, MLOps, Generative AI integration).

Evaluate and onboard new tools/technologies via POCs and architecture assessments.

Contribute to internal communities of practice and technical mentoring for junior architects and engineers.

Skills and attributes for success

15-20 years of experience in IT with a strong background in data and platform architecture.

Proven experience architecting and delivering cloud-native data platforms on AWS, Azure, or GCP.

Expertise in data engineering tools and frameworks like Databricks, Apache Spark, Airflow, Kafka, Snowflake, BigQuery, Redshift, etc.

Strong understanding of data architecture patterns Data Mesh, Lakehouse, Lambda/Kappa architectures.

Experience with DevOps, CI/CD, Infrastructure-as-Code (IaC) using Terraform, ARM, or similar implementation exp (certification is nice to have)

Deep understanding of security, governance, lineage, and monitoring in a cloud data ecosystem.

Ability to evaluate and recommend modern data technologies and architecture patterns.

Strong leadership, communication, and stakeholder management skills.

Understanding of DevOps tooling and integration across cloud

Experience implementing vendor products on Cloud or integrating SaaS platforms such as Snowflake into an Enterprise (including AD integration, SSO using Pingfed/Okta, etc)

Professional level certification of at least one cloud platform (this covers for platform specific details around networking, vpc, etc)

To qualify for the role, you must have

Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.

Excellent communicator (written and verbal formal and informal).

Ability to multi-task under pressure and work independently with minimal supervision.

Strong verbal and written communication skills.

Must be a team player and enjoy working in a cooperative and collaborative team environment.

Adaptable to new technologies and standards.

Kubernetes / Docker -usually inference end points are required to be published as API endpoint.

Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support

Responsible for the evaluation of technical risks and map out mitigation strategies

Experience in Data security [on the move, at rest]

Experience in performance bench marking enterprise applications

Working knowledge in any of the cloud platform, AWS or Azure or GCP

Excellent business communication, Consulting, Quality process skills

Excellent Consulting Skills

Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Financial Service especially Insurance domain.

Certification in AWS/Azure/GCP architecture or data engineering.

Experience working in Agile/SAFe environments.

Exposure to AI/ML pipeline architecture and MLOps is a plus.

Ideally, youll also have

Strong project management skills

Client management skills

Solutioning skills

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EY - GDS Consulting - AI AND DATA - Senior Platform Architect- Senior