Data Architect @ Accenture

Job Description

Job description :

We are seeking an experienced Data Architect to design, implement, and optimize enterprise-level data solutions. The ideal candidate will have strong expertise in data modeling, cloud data platforms, and modern data architecture frameworks to support analytics, reporting, and business intelligence initiatives.

Key Responsibilities:

• Design and implement scalable, secure, and high-performing data architectures.
  
• Develop and maintain conceptual, logical, and physical data models.
  
• Lead the integration of structured and unstructured data from multiple sources.
  
• Collaborate with business stakeholders, data engineers, and analysts to ensure data quality and availability.
  
• Define and enforce data architecture standards, governance, and best practices.
  
• Provide technical leadership in selecting appropriate databases, data lakes, and cloud-based solutions.
  
• Optimize performance, security, and scalability of data pipelines and storage solutions.
  
• Stay updated with emerging technologies and recommend adoption where beneficial.
  

Must-Have Skills:

• Strong experience in data modeling (conceptual, logical, physical).
  
• Expertise in SQL, NoSQL, and distributed databases.
  
• Hands-on experience with ETL/ELT tools and data integration frameworks.
  
• Proficiency in cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake, etc.).
  
• Solid understanding of data warehousing, data lakes, and data lakehouse architectures.
  
• Knowledge of data governance, metadata management, and master data management (MDM).
  
• Strong problem-solving and analytical skills.
  

Good-to-Have Skills:

• Experience with Big Data technologies (Hadoop, Spark, Kafka, etc.).
  
• Familiarity with BI & visualization tools (Tableau, Power BI, Looker, etc.).
  
• Exposure to AI/ML data pipelines.
  
• Knowledge of DevOps, CI/CD, and containerization (Docker, Kubernetes).
  

Qualifications:

• Bachelors or Masters degree in Computer Science, Information Systems, or related field.
  
• Relevant certifications in cloud platforms (AWS, Azure, GCP) or data architecture preferred.

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Keyskills:   data modeling ETL SQL