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AWS Data Architect @ Brillio

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 AWS Data Architect

Job Description

Role Overview:

We are seeking an experienced AWS Data Architect with strong hands-on expertise in designing, building, and optimizing scalable data lake and analytics platforms on AWS. The ideal candidate will combine deep technical proficiency in AWS services with a strong understanding of data architecture principles, governance, and best practices for analytical enablement.

Key Responsibilities

  • Architect and Design: Define and implement scalable, secure, and cost-efficient AWS-based data lake architectures using S3, Glue, Athena, and Lake Formation.
  • Data Engineering: Develop robust ETL/ELT pipelines using PySpark, Glue, and Lambda for batch and near-real-time data ingestion and transformation.
  • Data Modeling: Design logical and physical data models, implement schema evolution, partitioning strategies, and efficient metadata management.
  • Lifecycle Management: Manage the complete data lifecycle from raw ingestion to curated and analytical layers ensuring data quality, lineage, and traceability.
  • Integration: Enable seamless data consumption by downstream systems such as Redshift Spectrum, QuickSight, SageMaker, and other BI or ML platforms.
  • Governance & Security: Enforce robust data governance, access control, and compliance through IAM, KMS, CloudTrail, and Lake Formation.
  • Data Quality: Implement and automate data validation frameworks using tools such as Deequ or Great Expectations.
  • Automation & DevOps: Build infrastructure as code (IaC) using AWS CDK or Terraform, and orchestrate CI/CD pipelines with GitHub Actions or AWS CodePipeline.
  • Monitoring & Optimization: Set up observability, performance tuning, and cost optimization through CloudWatch, Glue job optimization, and Athena query tuning.
  • Leadership & Guidance: Collaborate with cross-functional teams, mentor data engineers, and define best practices for scalable data engineering and architecture.

Required Skills & Qualifications

  • Proven experience architecting and implementing AWS data lake and analytics ecosystems.
  • Hands-on expertise in AWS Glue, S3, Athena, Lambda, Redshift, and Lake Formation.
  • Strong programming and ETL skills using PySpark / Python.
  • Deep understanding of data modeling, data ingestion patterns, and schema evolution.
  • Knowledge of data governance, security, and compliance frameworks in cloud environments.
  • Familiarity with CI/CD, IaC, and DevOps tools (CDK, Terraform, GitHub Actions, CodePipeline).
  • Experience with data quality frameworks (Deequ, Great Expectations).
  • Strong problem-solving, analytical, and communication skills.
  • Bachelor's or Masters degree in Computer Science, Data Engineering, or related field.

Preferred Qualifications

  • AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect Professional.
  • Experience with real-time data streaming (Kinesis, Kafka, or MSK).
  • Exposure to machine learning pipelines and MLOps using SageMaker.

Experience working in Agile environments.


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Brillio
Location(s): Pune

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Keyskills:   Data Lake Data Architecture Aws Glue Athena AWS Aws Lambda

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