Data Manager

December 6, 2024

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Logo of Allata

Allata

Allata is a global consulting firm that helps businesses achieve digital excellence by crafting unique customer experiences, identifying revenue-generating opportunities, and improving operational efficiencies. They offer a wide range of services including strategic services, technology and cloud solutions, data and insights, and artificial intelligence development. Allata's approach is experience-led, strategy-aligned, tech-enabled, and data-driven. They work across multiple industries such as automotive, financial services, health and life sciences, high tech, logistics and transportation, among others, to drive modernization, personalization, innovation, and efficiency. With a team of former IT leaders and consulting professionals, Allata guides clients through complex digital landscapes to deliver value-based outcomes and help organizations integrate digital strategies seamlessly into their overall business strategies.

Strategic Advisory Services β€’ Transformational Program Management β€’ Emerging Technology β€’ Custom Software β€’ Cloud

201 - 500 employees

🀝 B2B

πŸ“‹ Description

β€’ Allata is an IT company dedicated to strategy, architecture, and enterprise-level application development. β€’ We are actively seeking a Data Manager with strong expertise in Data Bricks and Delta Live Tables. β€’ The ideal candidate will combine technical leadership with hands-on execution to mentor team members and collaborate with stakeholders.

🎯 Requirements

β€’ Proven expertise in Data Bricks, Delta Live Tables, SQL, and Python for processing and managing large data volumes. β€’ Strong experience in designing and implementing dimensional models and medallion architecture. β€’ Hands-on experience with modern data pipeline tools (e.g., DBT, AWS Glue, Azure Data Factory, Fivetran) and cloud platforms (e.g., Snowflake, Redshift, BigQuery). β€’ Knowledge of cloud data lakes (e.g., Data Bricks Lakehouse, Azure Storage, AWS S3). β€’ Demonstrated experience applying DevOps principles (e.g., Git, CI/CD) to data engineering projects. β€’ Familiarity with batch and streaming data processing techniques. β€’ Familiarity with architectural best practices for building data lakes. β€’ Experience with BI tools (e.g., Power BI, Tableau) and deploying data models. β€’ Knowledge of observability and monitoring frameworks for data solutions. β€’ Hands-on experience with big data technologies (e.g., Spark, Delta Lake, Hive). β€’ Experience with Databricks Unity Catalog, i.e. configuring and managing data governance and access controls in a Lakehouse environment. β€’ Demonstrated ability to lead technical discussions and guide teams in solving complex data challenges. β€’ Strong collaboration and stakeholder management skills in distributed teams. β€’ Proactive problem-solving attitude with excellent organizational and analytical capabilities. β€’ Fluent English communication skills, both written and verbal. β€’ Familiarity with Agile methodologies and SDLC practices.

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