Senior Data Architect
6 days ago
CareerXperts Consulting is a leading organization at the forefront of technological innovation, seeking an exceptional Senior Data Architect to join their team.
This pivotal role will play a crucial part in shaping our technical strategy and accelerating growth within our data ecosystem. As a seasoned technical leader with a passion for building and scaling modern, real-time data platforms, you'll lead the charge in advancing our data capabilities and infrastructure.
Key Responsibilities:- Data Architecture: Design and implement state-of-the-art data architectures to handle large-scale, complex data processing needs, ensuring optimal performance and scalability.
- Advanced Data Pipelines: Architect, build, and maintain resilient, high-performance data pipelines with a focus on real-time data ingestion, transformation, and storage.
- Modernize Data Platforms: Build and enhance cutting-edge, real-time data platforms with best-in-class tools and technologies that exceed expectations across engineering and business teams.
- Drive Technical Leadership: Act as a technical authority across multiple engineering squads, ensuring alignment of the Data roadmap with overarching business objectives and OKRs.
- Optimize Infrastructure: Ensure our data infrastructure is future-ready, scalable, and optimized for evolving workloads and demands.
- Collaborate with Stakeholders: Partner closely with cross-functional teams to deeply understand business data needs and translate them into robust technical solutions.
What We're Looking For:
- Technical Expertise: Mastery in designing and building scalable, distributed systems for data collection, streaming, and processing.
- Proven expertise in large-scale data architecture and modern data platform development.
- Advanced knowledge of data structures, algorithms, schema design, and performance tuning.
- Extensive hands-on experience with real-time data processing frameworks and tools (e.g., Apache Kafka, Apache Flink, Spark Streaming).
- Deep expertise in AWS or equivalent cloud platforms, leveraging cloud-native services to optimize performance and cost.
- Fluency in multiple OO languages (e.g., Python, Java, Scala, Go), with a focus on performance and maintainability.
- Strong command of SQL for data analysis and transformation.
- Proven ability to design and build highly resilient data pipelines for critical workloads and business processes.
Requirements:
- 12+ years of experience in data engineering, software development, or related roles.
- Strong background in building and scaling modern real-time data platforms in fast-paced, high-growth environments.
Estimated Salary: $180,000 - $220,000 per annum
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