Chief Data Architect
5 days ago
About Data Axle:
Data Axle Inc. has been a leading provider of data-driven solutions for over 50 years in the US.
Our global centre of excellence in Pune delivers mission-critical data services to our clients using a proprietary cloud-based technology platform and leveraging proprietary business & consumer databases.
We are headquartered in Dallas, TX, USA.
The Role:
We are seeking a highly experienced Chief Data Architect to design, implement, and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.
- Design and implement a scalable and secure data architecture to meet the needs of our clients.
- Interface with other technology teams to extract, transform, and load data from various sources using SQL and AWS big data technologies.
- Create and support real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR, and Athena.
- Continually research and develop new big data and visualization technologies to provide innovative capabilities and increase efficiency.
- Work closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
- Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering, and machine learning.
- Help improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Requirements:
- A minimum of 7 years of experience in software development, data engineering, business intelligence, data science, or a related field with a proven track record of manipulating, processing, and extracting value from large datasets.
- A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- Demonstrated expertise in data modeling, ETL development, and data warehousing.
- Experience using big data processing technology using Spark.
- Familiarity with data management fundamentals and data storage principles.
- Experience working with AWS big data technologies (Redshift, S3, EMR, Spark).
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
Salary:$140,000 - $180,000 per annum
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