Data Architect

Join to apply for the

Data Architect

role at

Tkxel .

This is a remote position.

Responsibilities

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 .

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

IT Services and IT Consulting

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