AWS Big Data Lead
1 week ago
About the Role
We are seeking a highly skilled AWS Big Data Lead & Technical Architect with over 10 years of experience in designing, implementing, and leading enterprise-grade Big Data solutions. The ideal candidate will combine deep technical expertise in AWS and Big Data technologies with strong leadership and architectural skills to drive large-scale data transformation initiatives.
Key ResponsibilitiesLeadership & Strategy
- Lead and mentor cross-functional teams of Big Data engineers and solution architects.
- Define and execute the data architecture strategy, roadmaps, and modernization initiatives.
- Collaborate with business stakeholders, product managers, and data scientists to deliver scalable and impactful data solutions.
- Provide technical thought leadership and guide clients in adopting AWS-based data platforms.
Technical Architecture
- Architect and implement end-to-end Big Data solutions (data ingestion, storage, processing, and analytics) on AWS.
- Design and optimize data lakes, data warehouses, and streaming architectures using AWS services (S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda, DynamoDB).
- Define best practices for scalability, security, data governance, and performance optimization.
- Create architecture blueprints, high-level design documents, and technical specifications.
- Ensure compliance with data security, privacy, and regulatory frameworks (GDPR, HIPAA, etc.).
Engineering & Delivery
- Oversee the development of ETL/ELT pipelines, real-time streaming solutions, and advanced analytics platforms.
- Optimize workloads for cost efficiency, reliability, and high availability.
- Collaborate with DevOps teams to implement CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and monitoring solutions.
- Evaluate emerging technologies and recommend innovative solutions for evolving business needs.
Required Skills & Qualifications
- 10+ years of experience in Big Data engineering, solution architecture, and leadership.
- Strong expertise in AWS cloud services (S3, EMR, Glue, Redshift, Kinesis, Athena, Lambda, DynamoDB).
- Hands-on experience with Hadoop ecosystem, Spark, Kafka, Hive, and Presto.
- Proficiency in Python, Java/Scala, and SQL for data processing.
- Deep understanding of data modeling, metadata management, and governance frameworks.
- Strong experience in technical architecture, system design, and integration.
- Excellent leadership, stakeholder management, and communication skills.
- AWS Certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Data Analytics Specialty) preferred.
Job Type: Full-time
Work Location: In person
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