TkXel
Tkxel
is a leading softwaredevelopment company located in Reston, Virginia. We are committedto develop innovative software solutions for leading enterprisesin the world, helping them grow their businesses using latesttechnology solutions.
Job Description
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.
Bachelors/Masters 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 .
#J-18808-Ljbffr
is a leading softwaredevelopment company located in Reston, Virginia. We are committedto develop innovative software solutions for leading enterprisesin the world, helping them grow their businesses using latesttechnology solutions.
Job Description
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.
Bachelors/Masters 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 .
#J-18808-Ljbffr