Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
About the role
- Data Architect responsible for designing and enforcing Medallion Architecture for AI consultancy's Lakehouse implementations with a focus on data modeling and standards.
Responsibilities
- Design and enforce Medallion Architecture for the Lakehouse.
- Drive architectural decision-making through SAF/ARB architecture forums.
- Lead design for all Data Factory squads working on data initiatives.
- Define standards for Apache Iceberg tables, including partitioning strategy, schema evolution, time travel and snapshot retention, and table optimization schedules.
- Establish data modeling standards (e.g., dimensional modeling for Gold layer, SCD2, naming conventions, metadata management).
- Define lineage standards leveraging OpenMetadata.
- Coordinate with platform teams on Iceberg-related activities.
- Collaborate with Data Quality leads to implement validation rules.
- Proactively manage escalations and communicate progress with senior stakeholders.
- Provide guidance to Glue Data Engineers.
- Establish code review processes and best practices.
- Create reusable design patterns and templates for consistency.
Requirements
- data architecture roles, ideally 10 years+ with at least 3 years in Lakehouse implementations.
- Lakehouse architecture (S3, Iceberg, Glue, Spark).
- schema evolution, partitioning strategies, and table optimization in Iceberg.
- defining metadata management, lineage, and data quality frameworks.
- Medallion architecture and data modeling principles.
- leading architectural forums and influence decision-making.
- AWS services (S3, Glue, Athena, EMR).
- Apache Iceberg, Spark.
- OpenMetadata, or similar lineage tools.
- automating work / repetitive tasks.
- communicating and stakeholder management.
- working collaboratively across multiple squads and teams.
- working in a fast-paced environment and deliver aggressive migration targets.
- working with Jira and agile way of working.
Benefits
- Competitive salary and performance bonuses
- Comprehensive health insurance
- Professional development and certification support
- Opportunity to work on cutting-edge AI projects
- Flexible working arrangements
- Career advancement opportunities in a rapidly growing AI company
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.
IT Data Engineering Co‑Op at BlueRock Therapeutics supports development of scientific data systems. Collaboration on data workflows and foundational AWS data engineering tasks.
Data Engineer I building and operationalizing complex data solutions for Travelers' analytics using Databricks. Collaborating within teams to educate end users and support data governance.