Sr Data Engineering Manager

4 weeks ago

Chennai, Tamil Nadu, India Ford Motor Company Full time

At Ford Motor Credit Company, we are modernizing enterprise Core Platforms and integrating new lending platform to Google Cloud Data Platform (Data Factory), to improve Data, Analytics and AI/ML capabilities, and enhance customer experience, regulatory compliance & operational efficiencies, enabled by Google Cloud.

This position will lead integration of core data from New North America Lending platforms into Data Factory (GCP BQ), and build upon the existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms. To enable critical regulatory reporting, operational analytics, risk analytics and modelling

Will provide overall technical guidance to implementation teams and oversee adherence to engineering patterns and data quality and compliance standards, across all data factory workstreams. Support business adoption of data from new platform.

This position will collaborate with technical program manager, data platform enablement manager, analytical data domain leaders, subject matter experts, supplier partners, business partner and IT operations teams to deliver the Data integration workstream plan following agile framework.

We are looking for dynamic, technical leader with prior experience of leading data warehouse as part of complex business & tech transformation. Has strong experience in Data Engineering, GCP Big Query, Data ETL pipelines, Data architecture, Data Governance, Data protection, security & compliance, and user access enablement.

  1. This role will focus on implementing data integration of new lending platform into Google Cloud Data Platform (Data factory), existing analytical domains and building new data marts, while ensuring new data is integrated seamlessly with historical data.
  2. Will lead a dedicated team of data engineers & analysts to understand and assess new data model and attributes, in upstream systems, and build an approach to integrate this data into factory.
  3. Will lead the data integration architecture (in collaboration with core mod platform & data factory architects) and designs, and solution approach for data factory
  4. Will understand the scope of reporting for MMP (Minimal Marketable Product) launch & build the data marts required to enable agreed usecases for regulatory, analytical & operational reporting, and data required for Risk modelling.
  5. Will collaborate with Data Factory Analytical domain teams, to build new pipelines & expansion of analytical domains.
  6. Will lead data integration testing strategy & its execution within Data Factory (end-to-end, from ingestion, to analytical domains, to marts) to support usecases.
  7. Will be Data Factory SPOC for all Core Modernization program and help facilitate & prioritize backlogs of data workstreams.
  8. Ensure the data solutions are aligned to overall program goals, timing and are delivered with quality.
  9. Collaborate with program managers to plan iterations, backlogs and dependencies across all workstream to progress workstreams at required pace.
  10. Drive adoption of standardized architecture, design and quality assurance approaches across all workstreams and ensure solutions adheres to established standards.
  11. People leader for a team of 5+ data engineers and analysts. Additionally manage supplier partner team who will execute the migration plan
  12. Lead communication of status, issues & risks to key stakeholders
  13. Stay abreast on technology advancements and ensure team keeps updated on skills
  • 14+ years of overall experience
  • 5+ years of experience delivering complex Data warehousing projects.
  • 4+ years of strong experience in Bigquery, Data lake on GCP
  • Solid knowledge of Ford credit business functional, core systems, data knowledge
  • 5+ years of experience Leading teams of 5-10 engineers and suppliers to build Big Data/Datawarehouse solutions.
  • 10 years of experience in technical delivery of Data Warehouse Cloud Solutions for large companies, and business adoption of these platforms to build analytics , insights & models
  • Master's degree in- Computer science, Computer engineering, Data science or related field
  • 5-8 years' experience leading technical teams, delivery complex projects using Agile methodologies, and product support of those solutions
  • Solid knowledge of cloud data architecture, data modelling principles, DevOps, SRE, security and controls
  • Google Cloud certified preferred - Cloud Data Engineer.
  • Google Analytics experience in preferred.
  • Knowledge of most of the following:
  • Orchestration of data pipelines (e.g. Airflow, DBT, Dataform, Astronomer).
  • Batch data pipelines (e.g. BQ SQL, Dataflow, DTS).
  • Streaming data pipelines (e.g. Kafka, Pub/Sub, gsutil)
  • Data warehousing techniques (e.g. data modelling, ETL/ELT).
  • Data Catalog, Lineage
  • DLP (data loss prevention) and Classification of data
  • Knowledge of python will be added advantage.
  • Very strong leadership, communication, organizing and problem-solving skills.
  • Ability to negotiate with and influence stakeholders & drive forward strategic data transformation.
  • Quick learner, self-starter, energetic leaders with drive to deliver results.
  • Empathy and care for customers and teams, as a leader guide teams on advancement of skills, objective setting and performance assessments

Good to have skills

  1. Experience in technical program management & delivering complex migration projects.
  2. Building high performance teams
  3. Managing/or working with globally distributed teams
  4. Prior experience in leveraging offshore development service providers.
  5. Experience in a Fintech or large manufacturing company.
  6. In-memory databases

Requisition ID : 30621


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