Senior Data Architect

Key Responsibilities:

• Lead the architecture, design, and implementation of data platforms and analytics solutions for industrial environments.
  
• Define solution architecture including data models, data integration, ingestion pipelines, and storage strategies.
  
• Design and manage integration workflows using

  Azure Data Factory, Azure Databricks, Azure Data Lake

  , and other industrial data platforms.
• Develop robust data models for applications using

  SQL, Python

  , and other scripting languages.
• Integrate diverse data sources including

  SAP data, time-series data, production/operation data, and engineering data

  .
• Work with

  REST APIs

  to fetch, post, or sync external datasets to internal platforms.
• Apply

  machine learning models, generative AI, and LLMs

  within industrial data platform environments.
• Drive and ensure adherence to

  data governance

  ,

  security

  , and

  quality standards

  across the platform.
• Participate in all Agile ceremonies and ensure timely delivery of artifacts in a Scrum environment.
  
• Collaborate with internal teams and external stakeholders to define data requirements and ensure seamless solution delivery.
  
• Mentor and lead small technical teams, evaluate performance, and escalate risks/issues proactively.
  
• Stay updated with emerging data platform technologies, frameworks, and methodologies, and identify opportunities to integrate innovations into the data ecosystem.
  

Mandatory Skills & Qualifications:

• 1012+ years

  of proven experience in

  Data Architecture, Data Engineering, and Analytics

  in industrial domains such as

  CPG

  and

  Manufacturing

  .
• Strong understanding of

  ISA 95

  ,

  Industry 4.0 standards

  , and maintenance strategies.
• Extensive experience with

  Azure Data Factory, Azure Databricks, Azure Data Lake

  , and related tools.
• Solid programming and scripting skills using

  Python

  ,

  SQL

  , and optionally

  Java

  .
• Proven expertise in

  data modeling

  ,

  ETL development

  , and

  data pipeline architecture

  .
• Deep understanding of

  data ingestion

  ,

  transformation

  ,

  visualization

  , and

  storage frameworks

  .
• Proficient in

  REST API integration

  for data exchange with third-party systems.
• Hands-on experience in

  AI/ML model integration

  ,

  Generative AI

  , and

  LLM technologies

  .
• In-depth knowledge of different industrial data sources including

  SAP

  ,

  time-series sensors

  ,

  production

  , and

  engineering data

  .
• Familiarity with

  SDLC processes

  ,

  agile methodologies

  , and architectural frameworks.
• Understanding of

  network topology

  ,

  database server hosting

  , and

  industrial communication protocols

  .
• Strong communication, coordination, and stakeholder management skills.
  
• Ability to manage small teams, conduct performance reviews, and support project leadership in reporting and delivery.
  

Nice to Have:

• Certifications in

  Azure Data Engineering

  ,

  Data Architecture

  , or

  AI/ML frameworks

  .
• Exposure to

  DevOps

  ,

  CI/CD pipelines

  , and

  data security/compliance frameworks

  .
• Experience with

  data visualization tools

  (e.g., Power BI, Tableau) and business storytelling.