Data Architect

Job Title:

Architect / Senior Data Engineer

We are seeking a highly skilled Architect / Senior Data Engineer to design, build, and optimize our modern data ecosystem. The ideal candidate will have deep experience with AWS cloud services, Snowflake, and dbt, along with a strong understanding of scalable data architecture, ETL/ELT development, and data modeling best practices.

Key Responsibilities

• Architect, design, and implement scalable, reliable, and secure data solutions using AWS, Snowflake, and dbt.

• Develop end-to-end data pipelines (batch and streaming) to support analytics, machine learning, and business intelligence needs.

• Lead the modernization and migration of legacy data systems to cloud-native architectures.

• Define and enforce data engineering best practices including coding standards, CI/CD, testing, and monitoring.

• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.

• Optimize Snowflake performance through query tuning, warehouse sizing, and cost management.

• Establish and maintain data governance, security, and compliance standards across the data platform.

• Mentor and guide junior data engineers, providing technical leadership and direction.

Required

Skills & Qualifications

• 8+ years of experience in Data Engineering, with at least 3+ years in a cloud-native data environment.

• Hands‑on expertise in AWS services such as S3, Glue, Lambda, Step Functions, Redshift, and IAM.

• Strong experience with Snowflake – data modeling, warehouse design, performance optimization, and cost governance.

• Proven experience with dbt (data build tool) – model development, documentation, and deployment automation.

• Proficient in SQL, Python, and ETL/ELT pipeline development.

• Experience with CI/CD pipelines, version control (Git), and workflow orchestration tools (Airflow, Dagster, Prefect, etc.).

• Familiarity with data governance and security best practices, including role‑based access control and data masking.

• Strong understanding of data modeling techniques (Kimball, Data Vault, etc.) and data architecture principles.

Preferred Qualifications

• AWS Certification (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect).

• Strong communication and collaboration skills, with a track record of working in agile environments.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology and Design

IT Services and IT Consulting and Software Development

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