Data Architect

Hash Agile Technologies

10 years

0 Lacs

coimbatore tamil nadu india

Posted:8 hours ago| Platform:

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Skills Required

data design aws etl support analytics ai ml management kafka compliance governance security drive engineering architecture devops leadership mentoring redshift programming scripting sql workflow airflow spark pyspark communication containerization docker code terraform

Work Mode

On-site

Job Type

Full Time

Job Description

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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