Senior Data Engineering Manager

Job Description

As a Senior Data Engineering Manager at our company, you will lead a team responsible for the strategic development and delivery of data products. Your role involves overseeing the integration of data from various sources, guiding the evolution of our analytical data landscape, and directing the analysis and manipulation of large datasets. You will be responsible for ensuring the activation of data assets to enable enterprise platforms and analytics within Google Cloud Platform. Additionally, you will lead the design and implementation of data transformation and modernization initiatives on Google Cloud Platform, creating scalable data pipelines and building data marts and products for analytics solutions.**Key Responsibilities:**- Accountable for supporting the creation of the modern Datawarehouse platform in Google Cloud that enables Analytics insights & AI/ML at speed.- Managing stakeholders and projects collaborating on prioritization strategies roadmaps architecture & features delivery.- Leading enablement of new GCP BQ capabilities & engineering patterns for enterprise-wide adoption.- Accountable for ensuring data solutions pass banking regulatory and compliance standards.- Provide technical leadership in design & delivery of Google cloud data platform using agile practices and delivering continuous business value.- Drive business adoption of new scalable and reliable data platform for enterprises data analytics Insights & AI/ML modeling requirements.- Collaborate with Architects and cross functional application/product teams and Ford Data Factory team to integrate data solutions required to support multiple parallel projects.- Familiarity with hands-on development of reusable solution patterns with advanced GCP tools & guide teams on how to effectively use these tools.- Be the trusted partner of business customers and engineering teams in solving technical and business problems.- Effectively manage teams priorities backlogs and help remove roadblocks to drive key business results.- Lead communication of status issues & risks to key stakeholders.- Stay abreast on technology advancements and ensure team keeps updated on skills.- Experience leading large team of data engineers & developing talent performance management.- Drive adoption of standardized architecture design and quality assurance approaches across all workstreams and ensure solutions adhere to established standards.- Leverage cloud AI/ML Platforms to deliver business and technical requirements.- Manage data engineers and ML engineers that work with teams of data scientists data analysts and architects to successfully deliver ML/AI projects.**Qualifications:****Must Have Skills**- 12 years of technical leadership experience in delivery of Data Warehouse Solutions on-prem or on cloud for large companies and business adoption of these platforms to build insights & analytics.- 8 years experience leading technical teams delivering complex projects using Agile methodologies and product support for those solutions.- Solid knowledge of cloud data architecture, data modelling principles, DevOps, data compliance, global data protection laws, security, and data governance.- Very strong leadership and communication skills.- Demonstrated experience required in engineering Data warehouse solution in Google or other cloud systems.- Google Cloud certified professional Data Engineer.- Bachelors degree in Computer science, Computer engineering, Data science or related field.- Experience on Google cloud with deep understanding and design and development experience with Google Cloud Platform products.- Knowledge of various tools and technologies such as ETL, Big Data Tools, Data Quality and Governance, ML pipelines, etc.- Proven track record of managing large global budgets and organization change management.- Ability to negotiate with and influence stakeholders & drive forward strategic data transformation.- Quick learner, self-starter, energetic leader 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**- Master of Business Administration (MBA).- Experience in technical program management & delivering transformational projects.- Building high performance teams.- Managing/or working with globally distributed teams.- Prior experience in leveraging offshore development service providers.- Experience in a Fintech/Banking or large manufacturing company.These qualifications and responsibilities will help you excel in your role as a Senior Data Engineering Manager. As a Senior Data Engineering Manager at our company, you will lead a team responsible for the strategic development and delivery of data products. Your role involves overseeing the integration of data from various sources, guiding the evolution of our analytical data landscape, and directing the analysis and manipulation of

Keyskills :
Data EngineeringData IntegrationData AnalysisGoogle Cloud PlatformData TransformationTechnical LeadershipTechnical ArchitectureData GovernanceSecurityDevOpsData QualityPythonCloud StorageBudget ManagementStakeholder ManagementData Products