Senior Engineer - Data Architect

Stanley Black & Decker
Karnataka
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Stakeholder management","Problem-solving"]

Design and implement high-performance data platform solutions using Snowflake and Azure cloud data services. Build and maintain SQL pipelines, stored procedures, tasks, and scheduling workflows, optimizing for low-latency access through query tuning and performance strategies. Develop data architecture (models, schemas, and transformation pipelines), support customer self-hosted database deployments, and ensure strong data security via encryption, RBAC, monitoring, and Azure security controls. Manage infrastructure as code with Terraform and collaborate on integration/API plans.

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Stanley Black & Decker
Stanley Black & Decker
21 hours ago

Senior Engineer - Data Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design and implement high-performance data platform solutions using Snowflake and Azure cloud data services. Build and maintain SQL pipelines, stored procedures, tasks, and scheduling workflows, optimizing for low-latency access through query tuning and performance strategies. Develop data architecture (models, schemas, and transformation pipelines), support customer self-hosted database deployments, and ensure strong data security via encryption, RBAC, monitoring, and Azure security controls. Manage infrastructure as code with Terraform and collaborate on integration/API plans.
Location: Karnataka
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and implement high-performance data solutions using Snowflake and Azure cloud data services.
  • •Build and maintain SQL pipelines including stored procedures, tasks, and scheduling workflows for efficient processing.
  • •Optimize query performance for low-latency access using query tuning, execution plans, indexing strategies, and caching mechanisms.
  • •Develop and maintain data architecture (data models, schemas, data flow diagrams, and transformation pipelines) aligned to stakeholder requirements and cost estimates.
  • •Ensure data security and privacy using Azure security measures (encryption, access control, RBAC, monitoring) and manage deployments with Terraform across environments.

Key Requirements

  • •5+ years of data engineering and architecture experience.
  • •Deep Snowflake expertise including warehouses, data sharing, stored procedures, tasks/streams, and performance optimization.
  • •Expert-level SQL development (complex queries, stored procedures, UDFs) and pipeline orchestration.
  • •Proven low-latency query performance optimization, including indexing, execution plan tuning, and efficient data modeling.
  • •Strong Azure and infrastructure skills, including Azure data services, Azure security (RBAC, AD, PIM/JIT), and infrastructure as code with Terraform.
Experience:5+ yearsData engineeringData architectureCloudMicroservicesDevOps
Skills:CommunicationStakeholder managementProblem-solving
Certifications:SnowPro CoreSnowPro AdvancedDP-203: Data Engineering on Microsoft AzureMicrosoft Certified: Azure Data Engineer AssociateMicrosoft Certified: Azure Network Engineer AssociateMicrosoft Certified: Security, Compliance and Identity FundamentalsTerraform Associate Certification
Tech Stack:AzureSnowflakeSQLETL/ELTStored proceduresTasksStreamsTerraformAzure Resource ManagerAzure Active DirectoryDNSLogic AppsAzure PolicyAzure Security CenterAzure RBACAzure Privileged Identity Management (PIM)Azure developer toolsQualysEncryptionAccess control

Company Brief

Stanley Black & Decker
Designs and manufactures hand tools, power tools, storage products, and industrial equipment for professional, industrial, and consumer customers. The company also provides engineered fastening, security, and infrastructure solutions through a portfolio of well-known brands.
Industry: Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New Britain, United States
Founded: 2010
Glassdoor
Glassdoor: 3.5
Website