1 month ago
London, United KingdomSenior
Responsibilities
- Lead end-to-end data architecture and solution design across regulatory, finance, risk, treasury, and trading domains.
- Define target-state architectures, modernization roadmaps, migration strategies, enterprise data models, canonical structures, and integration standards.
- Design scalable cloud-native data platforms using Azure, AWS, Databricks, data lakes, and medallion architecture patterns.
- Architect ETL/ELT, orchestration, streaming, event-driven, and batch-processing frameworks using Apache Airflow and Databricks Workflows.
- Conduct schema reviews, data model assessments, architecture governance, and reporting architecture reviews.
- Modernize legacy SQL Server, SSIS, SSRS, SSAS, and monolithic reporting environments.
- Establish data governance, metadata management, lineage, auditability, reconciliation, data quality, observability, and operational resilience frameworks.
- Design reporting and semantic-layer architectures supporting enterprise reporting and self-service analytics.
- Define high availability, disaster recovery, RTO/RPO, SLA/SLO, monitoring, scalability, performance, partitioning, archival, and lifecycle-management standards.
- Collaborate with engineering and DevOps teams on automation, infrastructure-as-code, deployment governance, and platform standards.
- Drive reusable integration patterns, APIs, messaging architectures, and modern data-platform practices.
- Partner with business, operations, finance, risk, compliance, engineering, and leadership stakeholders to align architecture with strategic objectives.
- Mentor engineers, influence standards and automation, and help improve the Managed Services capability.
Requirements
- Strong enterprise data architecture experience defining target-state architectures, modernization roadmaps, and scalable data-platform strategies.
- Deep knowledge of cloud-native data ecosystems, distributed processing, data lakes, medallion architecture, Apache Airflow, Databricks Workflows, and modern data engineering practices.
- Strong expertise in data warehousing, dimensional modeling, ETL/ELT, metadata management, lineage, reconciliation, and enterprise data governance.
- Demonstrated ability to modernize complex legacy and monolithic data environments into scalable, resilient, modular architectures.
- Strong understanding of financial services, capital markets, regulatory reporting, and compliance-driven data architectures.
- Expertise designing highly available, scalable, secure, and performance-optimized enterprise data platforms.
- Knowledge of integration patterns including APIs, messaging systems, event-driven architectures, MQ, FIX, gRPC, and file-based integrations.
- Ability to implement enterprise data quality, observability, auditability, and operational resilience frameworks.
- Strong analytical, problem-solving, stakeholder management, communication, documentation, presentation, and architecture review skills.
- Experience working across business, operations, risk, compliance, engineering, and leadership teams in agile, DevOps, and cross-functional delivery environments.
- Ability to design data architectures supporting business process execution, reporting, analytics, and AI while maintaining data quality, lineage, security, and governance.
Benefits
- Opportunity to work across complex enterprise Azure environments and help shape the company’s Managed Services capability.
- Opportunity to solve challenging technical problems, influence standards and automation, mentor engineers, and collaborate with customers and technical teams.
- People-focused culture with investment in employee development and opportunities for team growth.
Tech Stack
Categories
Data Engineering
About Ascent
Ascent Global Logistics provides expedited, time-critical transportation and freight management for shippers, spanning domestic brokerage, international freight forwarding, and managed logistics. The company connects customers to a carrier network through its PEAK digital marketplace and also operates its own cargo airline (USA Jet Airlines) for on-demand air charters. Founded in 2017, Ascent is headquartered in Belleville, Michigan and is privately held by H.I.G. Capital.