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The role involves designing comprehensive data, observability, and analytics architectures for carve-out projects. You will be responsible for building new platforms from the ground up and defining technical approaches for data migration and integration.
This is a remote position.
Role Summary
Designs the data, observability and analytics architecture for a carve-out. Owns the target-state data platform and the technical approach for separating and moving application, user and enterprise data. Builds new platforms from the ground up where the separated entity needs them.
Job Responsibilities
Design observability architecture covering logs, metrics and traces
Define collection of application events and infrastructure events
Design log ingestion, retention and analysis
Design data pipelines and ETL for batch and streaming workloads
Design data models and data lake, data warehouse and lakehouse architectures
Design a greenfield data lake from the ground up
Define ingestion and deduplication for structured and unstructured data
Design the technical approach for application data and user data moves
Design enterprise master data handling
Design analytics, custom dashboards and reporting with Power BI or Tableau
Define data security, access control, lineage and quality controls
Produce high-level and low-level designs and review them with client architects
Required Experience
10+ years of relevant experience in data and analytics architecture
Strong experience in observability: logs, metrics and traces for applications and infrastructure
Experience with log ingestion, retention and analysis at scale
Experience building data pipelines, ETL and ELT
Strong data modelling skills
3 to 5 years of working experience with data lakes and data warehouses, on at least two vendors
Experience with data lakehouse architectures
Experience handling structured and unstructured data
Experience with batch processing and batch operations
Experience with ingestion and deduplication
Experience with data migration, including application data and user data
Experience with enterprise master data management
Experience building a greenfield data lake from the ground up
Experience with at least two analytics tools, such as Power BI and Tableau, including custom dashboards
Knowledge of data governance: cataloguing, lineage, quality, masking and access control
Knowledge of orchestration and streaming tools such as Azure Data Factory, Airflow or Kafka
Strong SQL skills and working knowledge of Python
Experience with at least two cloud providers (Azure and AWS)
Exposure to at least two OEMs or two vendors in each technology area
Strong communication skills, with prior experience working with UK and EU clients
Willingness to travel as required and to work in the client time zone
Prior infrastructure background alongside the specialism above
Prior experience in IT consolidations, mergers, demergers and carve-outs (mandatory)
Relevant professional certifications strongly recommended
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