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AWS Big Data Lead And Technical Architect
2 weeks 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 Responsibilities
Leadership & 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.