Data Architect

August 22

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Tkxel

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Artificial Intelligence • Cloud Engineering • SaaS

Tkxel is a technology company that specializes in transforming businesses through innovative software solutions and services. They offer a comprehensive range of services including Digital Transformation, AI Software Development, Cloud Engineering, Application Development, and UI/UX Design. With over 15 years of expertise and a dedicated team, Tkxel aims to enhance operational efficiency for clients across various sectors by leveraging the latest technologies such as Machine Learning, Generative AI, and Cybersecurity.

501 - 1000 employees

Founded 2008

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• This is a remote position. • Lead the design, development, and maintenance of the enterprise Data Platform. • Collaborate with Data Engineers, BI Engineers, and Data Business Analysts across platform layers to ensure scalable, secure, high-performance data infrastructure. • Lead the roadmap and enhancements for the enterprise Big Data Platform, ensuring scalability, reliability, and cost efficiency. • Architect end-to-end data solutions (data lakes, data warehouses, real-time streaming) using AWS and Azure technologies. • Build and optimize scalable, near real-time data ingestion pipelines for low-latency, high-throughput analytics and reporting. • Architect and manage data streaming solutions using Kafka, Kinesis, Apache Flink, or Spark Streaming. • Ensure data security, governance, compliance, IAM, encryption, access control, and data lineage tracking. • Define and implement data integration strategies including ETL, APIs, and event-driven architectures. • Drive automation and DevOps for data pipeline deployment and monitoring using Terraform, CloudFormation, and CI/CD. • Stay updated with big data, cloud, and AI/ML advancements and incorporate them into the 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. • 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, knowledge graphs, containerized & serverless architectures (Docker, Kubernetes, AWS Fargate), and real-time anomaly detection and predictive analytics.