Data Architect

Data Architect (Azure) with preferable Teradata Experience

Requirements

Job Title: Data Architect

Experience: 10+ Years (can be adjusted)

Location: [Onsite / Hybrid / Remote]

Employment Type: Full-time

Job Summary

We are looking for an experienced Data Architect to design, build, and govern enterprise-level data architecture that supports analytics, reporting, and advanced data use cases. The role requires close collaboration with business, engineering, and analytics teams to ensure scalable, secure, and high-performing data solutions aligned with organizational goals.

Key Responsibilities

Data Architecture & Strategy

• Define and maintain enterprise data architecture, standards, and best practices.
• Design end-to-end data solutions including data ingestion, storage, processing, and consumption layers.
• Create conceptual, logical, and physical data models.
  
  

• Architect and oversee data lakes, data warehouses, and lakehouse solutions.
• Design data integration patterns for batch and real-time processing.
• Ensure seamless integration across multiple source systems and downstream consumers.
  
  

• Lead data architecture on cloud platforms (AWS / Azure / GCP).
• Evaluate and recommend tools and technologies (ETL, orchestration, streaming, BI).
• Optimize performance, scalability, and cost efficiency of data platforms.
  
  

• Define and enforce data governance, lineage, metadata, and quality standards.
• Ensure compliance with security, privacy, and regulatory requirements.
• Collaborate with security teams on data access and protection strategies.
  
  

• Work with business leaders to translate requirements into data solutions.
• Guide and mentor data engineers and analysts on architecture best practices.
• Participate in architecture review boards and technical decision-making.
  
  

• Strong expertise in data modeling (ER, dimensional, star/snowflake).
• Advanced SQL and database design experience.
• Hands-on experience with data warehousing and data lake architectures.
• Proficiency in cloud data services (e.g., Azure Synapse, AWS Redshift, Snowflake, BigQuery).
• Experience with ETL/ELT tools (ADF, Informatica, Glue, dbt, etc.).
• Knowledge of streaming platforms (Kafka, Kinesis, Event Hubs).
  
  

• Experience with data architecture frameworks (TOGAF, DAMA-DMBOK preferred).
• Strong understanding of metadata management and data lineage.
• Tera Data
  
  

• Strong communication and stakeholder management skills.
• Ability to influence technical and non-technical audiences.
• Strategic thinking with hands-on problem-solving ability.
  
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  
  

• Cloud certifications (AWS / Azure / GCP).
• Experience with BI tools (Power BI, Tableau, Looker).
• Exposure to ML/AI data platforms.
• Experience in regulated industries (banking, healthcare, etc.).
• Experience in Teradata