Billigence

Data Architect

Billigence

contract

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSAzureCloudETLMatillionPythonSQLTableauTerraform

About the role

  • Design and implement end-to-end data architecture leveraging Snowflake and Matillion for data ingestion, transformation, and storage.
  • Define and maintain data modeling standards, data flows, and architecture best practices (dimensional, normalized, star/snowflake schemas).
  • Lead the evaluation and adoption of tools in the modern data stack, ensuring alignment with business goals and future scalability.
  • Collaborate with data engineers, analysts, and stakeholders to define data requirements and create robust data pipelines.
  • Ensure data security, access controls, and compliance with governance frameworks (e.g., GDPR, HIPAA, SOC 2).
  • Optimize performance of Snowflake through clustering, caching, query tuning, and cost management.
  • Oversee data integration strategies from multiple sources (APIs, databases, flat files, third-party platforms).
  • Establish data quality and metadata management practices across platforms.
  • Act as a subject matter expert and provide guidance on Matillion orchestration, reusable job frameworks, and job performance optimization.

Requirements

  • 5+ years of experience in data engineering, architecture, or similar roles.
  • Proven expertise with Snowflake (multi-cluster warehouse design, role-based access, data sharing, etc.).
  • Strong experience designing and implementing pipelines with Matillion ETL.
  • Proficient in data modeling and building scalable cloud data platforms.
  • Deep understanding of ELT/ETL design patterns and orchestration principles.
  • Strong SQL and scripting (e.g., Python or Bash) skills.
  • Hands-on experience with cloud platforms (preferably AWS or Azure).
  • Familiar with CI/CD, version control (Git), and infrastructure-as-code (e.g., Terraform, CloudFormation).
  • Preferred: Experience with dbt, Airflow, or other orchestration and transformation tools.
  • Preferred: Knowledge of BI/reporting tools (e.g., Power BI, Tableau, Looker).
  • Preferred: Familiarity with data governance and data catalog solutions (e.g., Alation, Collibra, Atlan).
  • Preferred: Background in supporting machine learning platforms and real-time data pipelines.
  • Preferred: Industry experience in finance, healthcare, retail.
Benefits
  • Remote work (India)
  • Contractor employment

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata modelingdata ingestiondata transformationdata storageSQLPythonBashELTETL
Soft skills
collaborationleadershipcommunicationproblem-solvingsubject matter expertise
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