Data Architect
7 days ago
Key Responsibilities
- Design and architect
scalable, secure, and resilient data platforms
leveraging cloud-native technologies (AWS, Snowflake, Redshift). - Lead the design and implementation of
data pipelines (ETL/ELT)
for both batch and real-time processing. - Build and optimize
data lakes and data warehouses
to support enterprise analytics and AI/ML use cases. - Define and implement
data modeling standards, metadata management, and master data management (MDM)
practices. - Architect
event-driven and streaming solutions
using Kafka, EventBridge, and similar technologies. - Ensure compliance with
governance, data security, privacy, and regulatory requirements
(HIPAA, GDPR, etc.). - Drive adoption of best practices in
data engineering, cloud architecture, and DevOps for data platforms
. - Collaborate with business stakeholders, data scientists, engineers, and product teams to deliver data-driven insights.
- Provide
technical leadership, mentoring, and guidance
to engineering teams.
Required Skills & Experience
- 10+ years of experience in
data architecture, engineering, or related technical roles
. - Proven expertise in the
modern data stack
: AWS Glue, Lambda, Kinesis, S3, Redshift/Snowflake. - Strong programming and scripting experience with
SQL and Python
. - Hands-on experience with
workflow orchestration
tools (Airflow, Prefect, Step Functions). - Proficiency in
Big Data technologies
: Spark, PySpark, Scala. - Solid understanding of
streaming & event-driven architectures
(Kafka, EventBridge/Event Bus). - Experience in
data modeling, building data lakes/warehouses
, and architecting analytical platforms. - Strong knowledge of
data governance, security, compliance, and MDM
practices. - Excellent problem-solving, analytical, and
system design
skills. - Exceptional communication,
stakeholder management
, and leadership capabilities.
Nice-to-Have Skills
- Exposure to
ML Ops
and supporting AI/ML pipelines. - Experience with
containerization and orchestration
(Docker, Kubernetes). - Familiarity with
CI/CD pipelines
and Infrastructure as Code (Terraform, CloudFormation). - Experience in
multi-cloud or hybrid-cloud environments
.
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