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Stanley Black & Decker - Senior Engineer - Data Architecture

Stanley Black & Decker, Inc.
5 - 8 Years
Bangalore

Posted on: 18/05/2026

Job Description

Description :

Senior Engineer - Data Architect Bangalore, Karnataka, India(Remote)

Come make the world and accelerate your success.

It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World. Sound like you Join our top-notch team of more than 50,000 diverse and high-performing professionals globally who are making their mark on some of the worlds most beloved brands, including DEWALT, BLACK+DECKER, CRAFTSMAN, STANLEY, CUB CADET, and HUSTLER.

The Job :

- We are looking for an experienced Azure Data Architect/Engineer with deep expertise in Snowflake, modern data platforms, and Azure cloud infrastructure.


- The ideal candidate will have extensive experience with Snowflake, SQL pipeline development, and Azure data services.


- They will be responsible for designing and implementing high-performance data solutions, optimizing for low-latency queries, supporting customers with self-hosted databases, and ensuring data security.


- Strong communication skills for pipeline implementation planning and cost estimation are essential. This is a full-time position with competitive compensation and benefits.

You'll get to :


- Design, develop, and implement high-performance data solutions using Snowflake and cloud data services

- Build and maintain SQL pipelines, stored procedures, tasks, and scheduling workflows for efficient data processing

- Optimize query performance for low-latency data access, including indexing strategies, query tuning,

and caching mechanisms

- Support customers with self-hosted database deployments, troubleshooting, and performance optimization

- Develop and maintain data architecture, including data models, schemas, data flow diagrams, and transformation pipelines

- Collaborate with stakeholders to understand data requirements and communicate pipeline implementation plans with clear cost estimation

- Ensure data security and privacy by implementing appropriate cloud security measures, including encryption, access control, RBAC, and monitoring

- Manage infrastructure as code using Terraform for reproducible deployments across environments (dev, staging, production)

- Work with application teams on data integration, API design, and deployment strategies

The Person :

You love to learn and grow and be acknowledged for your valuable contributions. Youre not intimidated by innovation. Wouldnt it be great if you could do your job and do a world of good? In fact, you embrace it.

You also have :


- 5+ years of data engineering and architecture experience

- Snowflake expertise : Deep understanding of Snowflake architecture, warehouses, data sharing, stored procedures, tasks, streams, and performance optimization

- SQL mastery : Expert-level SQL development including complex queries, stored procedures, user-defined functions, and pipeline orchestration

- Data pipeline development : Design and implement ETL/ELT workflows, task scheduling, incremental processing, and data transformation logic

- Query performance optimization : Proven ability to tune queries for low-latency access, optimize execution plans, and design efficient data models

- Azure cloud infrastructure management : Expert proficiency with Azure infrastructure including subscription management, Resource Manager, Azure Active Directory, DNS, Logic Apps, and Azure

developer tools

- Azure security expertise : Extensive experience with Azure Policy, Azure Security Center, Azure AD + Conditional Access, implementing Azure RBAC and Azure Privileged Identity Management (PIM + JIT)

- Infrastructure as Code (Terraform) : Expert proficiency in Terraform for reproducible deployments, environment management, and infrastructure automation across dev, staging, and production

- Database support : Experience supporting customer-facing and self-hosted database deployments, troubleshooting, performance tuning, and capacity planning

- Data security : Well versed in implementing incremental security controls such as Qualys integration with Azure, secrets management, and user/role management

- Cost management : Ability to estimate infrastructure and compute costs, optimize resource utilization, and communicate budget implications to stakeholders

- Communication skills : Strong ability to explain technical pipeline architecture, implementation timelines, and cost tradeoffs to both technical and non-technical audiences

- Deep familiarity with microservices architectures, and ideally have seen them in operation at a global scale

- Proficiency with concepts and technologies used in software development, operations, security, cloud, microservices, containers, and scheduling platforms

- Proficiency with data integration patterns, API design, and microservices architectures

- Possess strong understanding of security principles and able to knowledgeably discuss performance, security, and user interactions in complex systems

- Experience with monitoring, alerting, and operational observability for data pipelines and cloud infrastructure

- Strong understanding of data governance, data quality management, and metadata systems

- Advanced understanding of web technologies (HTTP, SSL, Headers, Cookies, TCP, Caching)

- Familiarity with version control (Git), CI/CD pipelines, and DevOps practices

Potential Certifications :


- SnowPro Core or Advanced (Snowflake Certified)

- DP-203: Data Engineering on Microsoft Azure

- Microsoft Certified: Azure Data Engineer Associate

- Microsoft Certified: Azure Network Engineer Associate and/or Microsoft Certified: Security, Compliance and Identity Fundamentals

- Terraform Associate Certification

- Other relevant Azure or data platform certifications are a plus

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