
Strategic Data Architect Position
17 hours ago
We are seeking an experienced Data Architect to lead the design, development, and maintenance of our enterprise Data Platform. This role requires a deep understanding of cloud-based big data ecosystems, real-time data processing, and enterprise data governance.
Main 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.
- 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.
- 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.
This is a challenging opportunity for a skilled Data Architect to drive innovation and growth in a rapidly evolving data landscape. If you have a passion for designing and implementing cutting-edge data solutions, we encourage you to apply.
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