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Chief Data Architect
3 weeks ago
Job Title: Data Solutions Architect
Data Solutions ArchitectWe are seeking a highly skilled and motivated Senior Consultant to join our DNA team. As a Senior Consultant, you will be responsible for delivering high-quality data solutions that include building and maintaining an entire data stack with various integrations, a data warehouse, a pipeline of data transformations, and services that push data into other tools.
You will also build resilient, secure, high-performance infrastructure required for optimal ETL/ELT processes from diverse data sources using SQL, data lake, Databricks technologies, and contribute to innovative data and AI-led transformation initiatives with the client.
- Deliver high-quality data solutions and build/maintain a data stack including data ingestion, data warehouse, data transformations, and services that push data into other tools.
- Build resilient, secure, high-performance infrastructure for ETL/ELT processes from diverse data sources using SQL, data lake, and Databricks technologies.
- Contribute to innovative data and AI-led transformation initiatives with the client.
- Engage in the execution and delivery of engagements as a key team member.
To achieve this role, we require a Bachelor's degree in computer science, Engineering, Information Systems, or related field. Proficiency in Python, Java, Scala, or R with experience in data processing pipelines is necessary.
A strong understanding of cloud data warehouse solutions such as Snowflake, Redshift, BigQuery, Azure, data ingestion tools like Fivetran, Stitch, Matillion, strong scripting (Bash) and data pipeline/workflow tools (Airflow, Azkaban), big data technologies (Hadoop, Spark, Kafka, Cassandra), and cloud services (AWS EMR, Azure HDInsight, Google Cloud Dataproc) is desirable.
The ideal candidate will have strong SQL and database design skills, ability to write clean, efficient, well-documented code, experience with data visualization tools (Tableau, Power BI), CI/CD and automated testing, working with Git, and ability to mentor data engineers and lead projects.
This is an excellent opportunity to work with cutting-edge data technologies and collaborate with talented professionals to deliver innovative data solutions.
