Data Architect

We are seeking an experienced Data Architect to design, build, and optimize scalable, cloud-native data platforms using technologies such as Snowflake, Databricks, and Amazon Redshift. This role will be instrumental in defining enterprise data architecture, enabling reliable data movement (including migrations and real-time replication), and driving high-quality analytics and business intelligence across the organization.

Key Responsibilities

• Design and implement scalable, secure, and high-performance data architectures on cloud platforms

• Architect and optimize data solutions using Snowflake, Databricks, and/or Amazon Redshift

• Lead data migration and replication strategies using tools such as AWS DMS, including full-load and CDC-based pipelines

• Define and maintain conceptual, logical, and physical data models aligned with business needs

• Build and manage robust ETL/ELT and data ingestion pipelines (batch and real-time)

• Collaborate with stakeholders to translate business requirements into scalable data solutions

• Establish and enforce data governance, security, and compliance frameworks

• Optimize performance, cost, and reliability of data platforms

• Integrate structured and unstructured data from multiple sources

• Enable real-time and streaming architectures alongside traditional batch processing

• Provide technical leadership and mentorship to data engineering teams

  
  
  

Requirements

Required Skills & Qualifications

• 8+ years of experience in Data Engineering / Data Architecture

• Strong expertise in at least one: Snowflake, Databricks, or Amazon Redshift
  

• Hands-on experience with AWS DMS for database migration, replication, and Change Data Capture (CDC)
  

• Experience with AWS Schema Conversion Tool (SCT) or similar migration tools is a plus

• Strong knowledge of SQL, data modeling, and data warehousing concepts
  

• Experience with ETL/ELT frameworks and tools (e.g., Apache Spark, Airflow, dbt, Informatica)

• Hands-on experience with cloud platforms (AWS / Azure / GCP)
  

• Familiarity with data lake / lakehouse architectures
  

• Strong understanding of data governance, security, and compliance
  

• Experience in performance tuning, query optimization, and cost management
  

• Excellent problem-solving and stakeholder management skills
  

  
  

Preferred Qualifications

• Experience with streaming technologies (Kafka, Kinesis, etc.)

• Exposure to AI/ML data pipelines
  

• Certifications in AWS / Azure / Snowflake / Databricks
  

• Experience with DevOps/DataOps practices and CI/CD pipelines
  

• Knowledge of BI tools (Tableau, Power BI, Looker, etc.)

Signs You May Be a Great Fit

Impact: Play a critical role in maintaining system uptime and delivering seamless userc experiences.

Culture: Thrive in a fast-paced, collaborative environment focused on operational excellence.

Growth: Opportunity to expand into SRE, DevOps, or platform engineering roles.

Benefits: Competitive compensation, flexible work options, and continuous learning opportunities.