
Senior Data Solutions Architect
14 hours ago
We are seeking an experienced Senior Data Solutions Architect to join our team. This dynamic role will involve designing and building cutting-edge real-time data pipelines and implementing data mesh architectures to enhance client data interactions.
This position blends deep technical expertise in modern data engineering methods with a client-facing consulting approach, enabling clients to effectively manage and utilize their data. As part of a team of top-tier engineers, you will develop greenfield data solutions that deliver tangible business outcomes across various environments.
- Design and Architecture: Design and architect scalable solutions using Databricks Lakehouse Architecture.
- Data Integration: Implement and enhance data-driven solutions integrating with clients' systems using state-of-the-art tools such as Databricks, Snowflake, Google Cloud, and AWS.
- Modern Data Architecture: Embrace modern data architecture philosophies including data products, data contracts, and data mesh to ensure a decentralized and consumer-oriented approach to data management.
- Data Pipelines: Develop and optimize high-performance, batch and real-time data pipelines employing advanced streaming technologies like Kafka, Flink.
- Database Management: Optimize and manage a broad array of database technologies, from traditional relational databases (e.g., PostgreSQL, MySQL) to modern NoSQL solutions (e.g., MongoDB, Cassandra).
Ideal Skills and Qualifications:
- Databricks Platform: Hands-on experience in Databricks to help us build scalable, high-performance data solutions.
- Core Data Engineering Tools & Technologies: Demonstrates proficiency in SQL and Spark, and familiarity with platforms such as Databricks and Snowflake.
- Data Storage Expertise: Knowledgeable in data warehousing technologies like BigQuery, Snowflake, and Databricks, proficient in managing various data storage formats including Parquet, Delta, ORC, Avro, JSON to optimize data storage and retrieval.
- Programming Languages: Proficient in Python and SQL, with additional experience in programming languages like Java, Scala, GoLang, Rust considered advantageous.
Benefits of the Role:
This is an exciting opportunity for a skilled data engineer to contribute to the development of innovative data solutions and collaborate with a talented team of professionals. We offer a dynamic work environment, opportunities for growth and professional development, and a competitive remuneration package.
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