McLaren Strategic Solutions (MSS) · 2 hours ago
Senior Data Engineer / Data Architect – Automation-Led Modernization
McLaren Strategic Solutions is a leading-edge global technology consulting firm, addressing critical challenges across industries such as retail, financial services, and healthcare. The Senior Data Engineer / Data Architect will lead automation-led modernization of legacy data and reporting platforms, focusing on the migration of data pipelines from Informatica to Databricks and building scalable, repeatable patterns across teams.
Responsibilities
Assess legacy data and reporting workloads to identify where automation replaces manual effort
Lead the migration of Informatica-based data workloads to Databricks, ensuring performance, reliability, and data integrity
Design and execute an automation-first modernization strategy for data pipelines, reporting systems, and analytics platforms
Apply tool-assisted and AI-assisted techniques to accelerate modernization while maintaining compliance and control
Build repeatable frameworks and patterns for: Data ingestion, transformation, and orchestration; Reporting and analytics modernization; Data validation, reconciliation, and quality controls
Establish governance to ensure modernization efforts are consistent, auditable, and scalable
Partner with distributed data teams to deploy and scale modernization patterns across environments
Provide hands-on technical leadership while remaining engaged in execution
Qualification
Required
10+ years in data engineering and/or data architecture
Proven track record of modernizing large-scale, complex, legacy data and reporting environments
Hands-on experience migrating or modernizing Informatica-based data pipelines to modern platforms such as Databricks
Demonstrated use of automation frameworks, accelerators, or AI-assisted tools to compress delivery timelines
Hands-on experience with Azure, Cloudera, and Power BI
Strong experience designing and operating ETL/ELT pipelines and analytics layers
Deep understanding of data quality, lineage, reconciliation, and validation frameworks
Experience working in large-scale or regulated enterprise environments
Preferred
Experience in payer, healthcare, or other regulated domains
Experience designing solutions that support multi-environment scalability
Exposure to GenAI tooling for code generation and automation
Experience as a technical thought leader for new platform initiatives