Data Architect

We are seeking an experienced Data Architect with expertise in Snowflake, dbt, Apache Airflow, and AWS to design, implement, and optimize scalable data solutions. The ideal candidate will play a critical role in defining data architecture, governance, and best practices while collaborating with cross-functional teams to drive data-driven decision-making.

Key Responsibilities

Data Architecture & Strategy :

Design and implement scalable, high-performance cloud-based data architectures on AWS.

Define data modelling standards for structured and semi-structured data in Snowflake.

Establish data governance, security, and compliance best practices.

Data Warehousing & ETL / ELT Pipelines :

Develop, maintain, and optimize Snowflake-based data warehouses.

Implement dbt (Data Build Tool) for data transformation and modelling.

Design and schedule data pipelines using Apache Airflow for orchestration.

Cloud & Infrastructure Management :

Architect and optimize data pipelines using AWS services like S3, Glue, Lambda, and Redshift.

Ensure cost-effective, highly available, and scalable cloud data solutions.

Collaboration & Leadership :

Work closely with data engineers, analysts, and business stakeholders to align data solutions with business goals.

Provide technical guidance and mentoring to the data engineering team.

Performance Optimization & Monitoring :

Optimize query performance and data processing within Snowflake.

Implement logging, monitoring, and alerting for pipeline reliability.

Required Skills & Qualifications

10+ years of experience in data architecture, engineering, or related roles.

Strong expertise in Snowflake, including data modeling, performance tuning, and security best practices.

Hands-on experience with dbt for data transformations and modeling.

Proficiency in Apache Airflow for workflow orchestration.

Strong knowledge of AWS services (S3, Glue, Lambda, Redshift, IAM, EC2, etc.).

Experience with SQL, Python, or Spark for data processing.

Familiarity with CI / CD pipelines, Infrastructure-as-Code (Terraform / CloudFormation) is a plus.

Strong understanding of data governance, security, and compliance (GDPR, HIPAA, etc.).

Preferred Qualifications

Certifications : AWS Certified Data Analytics – Specialty, Snowflake SnowPro Certification, or dbt Certification.

Experience with streaming technologies (Kafka, Kinesis) is a plus.

Knowledge of modern data stack tools (Looker, Power BI, etc.).

Experience in OTT streaming could be added advantage.