Senior Manager: Data Engineering Leader

2 weeks ago

Saint Albans, Vermont, United States Equifax Full time
Seeking a thought leader and organizational change agent for Equifax's Data Fabric platform.

This individual will be passionate about end-user experience and best in class engineering excellence to lead the data operations and support function.

As a leader in Data Operations, you will oversee a portfolio encompassing data engineering, data analytics & reporting, data architecture, data reliability engineering, and data governance.

Your role will be crucial in providing exceptional user experience to the Data Fabric user community through self-service, automation, and tooling.

Data Fabric is a GCP cloud-native modern data management platform which allows Equifax to acquire and curate data, provide entity resolution, and ingest into a single environment.

It is deployed globally in 6 regions, highly secured, and complies with regional and internal regulatory controls with strict governance, and oversight.

Business units, Data Scientists and many other stakeholders use APIs to consume data managed by the Data Fabric and operate data exchanges to monetize data through B2B and B2C channels.

T

o adhere to our corporate location policies, this resource will be required to be local to the surrounding Atlanta areas (or willing to relocate for this position) and adhere to our Return To Office (RTO) / weekly onsite requirements (Tuesday, Wednesday, and Thursday).

This is an Alpharetta based position.

This role is currently not sponsorship eligible (will not be able to consider applicants that require sponsorship currently or in the future).

What youll do
Lead a global engineering team, manage all day-to-day data engineering and data operations on the Data Fabric platform globally, ensuring optimum end-user experience and business continuity whilst mitigating risks and meeting delivery milestones

Own and resolve technical, operational, and interpersonal escalations and situations with professionalism, tact and diplomacy driving a culture of accountability and responsibility through actions and collaboration

Demonstrate proactive engagement with the Data Fabric user community on a highly consultative basis to learn and support data operations considering regional nuances, technical and non-technical requirements, to deliver innovative solutions

Lead technical presentations and engagements with internal/external and technical/ non-technical stakeholders communicating with clarity and precision and present complex information in a concise format that is audience appropriate.

Drive technical documentation including support, end-user and run books

Develop and manage technical roadmaps, deliver timely pragmatic solutions associated with Product roadmaps. Responsible for architecture decisions associated with continuous improvement and refactoring, EOSL decisions, whilst ensuring enterprise guidelines and best practices

Identify, recruit, develop, mentor, and retain a high-performance engineering team promoting a culture of creativity, problem-solving, experimentation, innovation, and execution

Build strong relationships with Data Fabric stakeholders including Product, Business and Engineers. Influence and collaborate with architects, SREs, and technical leadership on strategic technical direction, guidelines, and best practices

Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs

Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams

What experience you need
Bachelor's degree or the equivalent of 10+ years experience in increasing levels of responsibility managing data operations. Subject matter expertise in ETL, ELT, BI/reporting, DataOps, MLOps, Data Warehouse, and Lakehouse strategies

Experience establishing data quality, data governance, data catalog, metadata management frameworks

5+ years experience with AWS or GCP cloud SDLC

5+ years experience building and supporting data operations web portals (front-end and backend), and supporting diverse end-users in a high-profile environment

7+ years experience with cloud-based big data processing using real-time, batch, and/or lambda data pipelines using open source, COTS, and cloud-native solutions employing distributed computing

5+ years of data engineering experience with building/maintaining scalable big data infrastructure, using and creating data models, data taxonomy, data encoding, specifications & standards, and ensuring data quality management

7+ years experience in managing, developing, and scaling an agile dev team with strong leadership and influencing skills at the senior management level.

Exceptional analytical, conceptual and problem-solving abilities

Strong foundation in data integration from diverse sources, managing and supporting data ingress/egress pipelines, implementing data encryption/decryption strategies, and implementing compliance and audit controls

Experience with modern cloud-native software SDLC using micro services, web applications, CI/CD tools, DevOps, FinOps, orchestration tools, and GitHub

What could set you apart
Assertive, dynamic, but diplomatic with persuasion skills with effective written and verbal communication, presentation and leadership skills

Past hands-on software development experience with Java, Python, SQL, Web, Angular or React

Experience with big data processing and analytics solutions using Hadoop, Spark, Flink, Kafka, RDBMs and NoSQL distributed databases

Past working experience at a company in the data and analytics monetization space

Past working experience at a company that has been through a digital transformation and cloud migration

Active Cloud Certification (AWS, GCP)

Familiarity with with AI/ML

SAFe experience is a plus

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