This is a remote position.
We seek an experienced
Data Architect
to lead the design, development, and maintenance of our enterprise
Data Platform
. You will collaborate with
Data Engineers, BI Engineers, and Data Business Analysts
across various platform layers, ensuring a
scalable, secure, and high-performance
data infrastructure. This role requires a deep understanding of
cloud-based big data ecosystems (AWS & Azure), real-time data processing, and enterprise data governance.
-
Lead the roadmap and enhancements
for the enterprise
Big Data Platform
, ensuring scalability, reliability, and cost efficiency.
-
Architect
end-to-end data solutions
that fulfill business intelligence and analytics needs while ensuring best practices in
security, compliance, and operational efficiency
.
-
Lead and mentor a team of
Data Engineers, BI Engineers, and Cloud Architects
to implement high-quality, production-ready solutions.
-
Design and implement
modern data architectures
, including
data lakes, data warehouses, and real-time streaming solutions
, leveraging both
AWS and Azure
technologies.
-
Build and optimize
scalable, near real-time data ingestion pipelines
, ensuring
low-latency, high-throughput
data processing for analytics and operational reporting.
-
Architect and manage
data streaming solutions
using technologies such as
Kafka, Kinesis, Apache Flink, or Spark Streaming
, ensuring
fault tolerance, consistency, and efficiency
in real-time workflows.
-
Ensure data security, governance, and compliance
across all platforms, integrating
IAM, encryption, access control, and data lineage tracking
.
-
Collaborate with stakeholders to
define and implement data integration strategies
, including
ETL, API-based data exchange, and event-driven architectures
.
-
Drive
automation and DevOps best practices
for data pipeline deployment and monitoring, using tools such as
Terraform, CloudFormation, and CI/CD pipelines
.
-
Stay updated with the latest
big data, cloud, and AI/ML advancements
, and incorporate them into the
organization's data strategy
.
Requirements
-
10+ years
of experience in
enterprise data architecture, integration, and analytics
, with a strong track record in
big data solutions
.
-
Experience in
leading and mentoring teams
of Data Engineers and BI Developers.
-
Bachelor’s/Master’s degree
in
Computer Science, Data Engineering, or a relevant field
from an accredited institution.
-
Strong hands-on experience with:
-
Big Data and Cloud Solutions
on
AWS & Azure
, including
data lakes, data warehouses, and scalable analytics platforms
.
-
Data modeling
(relational, dimensional, NoSQL) and best practices for
high-performance data systems
.
-
Enterprise data integration
(ETL, messaging, streaming, APIs) with tools like
Apache NiFi, AWS Glue, Azure Data Factory, Airflow, or Informatica
.
-
Data pipeline orchestration
and
event-driven architectures
using
Apache Spark, AWS Lambda, Azure Functions, Kinesis, or Kafka
.
-
Cloud security & governance
frameworks (IAM, RBAC, encryption, GDPR, HIPAA, SOC2).
-
BI & Analytics Tools
: Power BI, AWS QuickSight, Tableau.
-
Machine Learning & AI
: Awareness of AI/ML principles and integration into
data pipelines
is a plus.
Preferred Certifications:
-
Microsoft Certified:
Azure Solutions Architect Expert
-
AWS Certified Data Analytics – Specialty
Nice-to-Have Skills:
-
Experience with
Graph databases, Data Mesh architecture, and knowledge graphs
.
-
Hands-on experience with
containerized & serverless architectures
(Docker, Kubernetes, AWS Fargate).
-
Experience working with
real-time anomaly detection and predictive analytics
.
