Senior Data Architect

4 weeks ago

Fremont, California, United States SPIN Analytics and Strategy Full time
Job Title: Senior Data Architect

Location: Multiple locations (WA, GA, TX)

Work mode: On-site (Can be converted to hybrid model based on consultant's performance)

Rate: $65/Hour on Corp-Corp (C2C)

Interview Mode: Video

Number of rounds: 3

Project duration: 6+ Months to start with

Job Summary:

Our client is seeking an experienced Senior Data Architect with expertise in Apache Flink, Cassandra, and Kafka to design and implement robust, scalable, and efficient data streaming architecture.

Responsibilities:
  1. Architect Data Streaming Solutions:
  • Design and implement data streaming architecture leveraging Apache Flink, Kafka, and Cassandra.
  • Build custom streaming solutions that address the client's needs for real-time data processing and analytics.
Solve Big Data Challenges:
  • Analyze and resolve existing big data architecture issues, including performance bottlenecks and scaling inefficiencies.
  • Collaborate with cross-functional teams to ensure the system's architecture supports existing and future business use cases.
Scalability & Performance Optimization:
  • Identify limitations in the current data architecture and design solutions that scale efficiently as data volumes grow.
  • Recommend and implement optimizations to the client's big data pipeline for enhanced throughput, latency, and reliability.
Data Pipeline and Integration:
  • Oversee the integration of data from various sources, ensuring consistent and reliable data flow into the streaming architecture.
  • Support integration with external systems and APIs for real-time data consumption and processing.
Mentoring & Best Practices:
  • Provide architectural guidance and best practices for developers, including writing efficient and maintainable code.
  • Mentor the team in the areas of stream processing frameworks, distributed databases, and message-driven architectures.
Collaboration & Stakeholder Engagement:
  • Work closely with business stakeholders to understand their requirements and translate them into technical solutions.
  • Collaborate with data scientists, engineers, and product teams to align the architecture with business goals.
Technical Skills:

Programming languages: Java, Scala, or Python

Cloud platforms (AWS, Google Cloud Platform, or Azure)

Containerization (Docker, Kubernetes)

Strong expertise in Apache Flink, Apache Kafka, Cassandra, and other data streaming technologies.

In-depth knowledge of distributed computing, real-time data streaming, and big data platforms.

Data pipeline orchestration tools: Apache Nifi, Airflow, or others.

Databases: SQL and NoSQL.

Experience:

5+ years of experience in designing and architecting solutions in large-scale data streaming environments.

Hands-on experience in optimizing data architectures for scalability, performance, and fault tolerance.

Proven track record in solving complex big data issues, including performance bottlenecks, data inconsistency, and scaling problems.

Soft Skills:

Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical stakeholders.

Strong leadership and mentoring capabilities to help guide the development team.

A proactive mindset and the ability to think critically and propose innovative solutions.

Preferred Qualifications:

Certifications in cloud platforms (AWS Certified Solutions Architect, Google Professional Cloud Architect, etc.) is desired.

Experience with NoSQL databases like HBase or MongoDB.

Experience with event-driven architectures and microservices.

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