Apply on Employer Site

Niagara Bottling · 1 day ago

Data Engineering Manager - Advanced Analytics

Diamond Bar, CA

Full-time

Onsite

Director/Executive

$137K/yr - $198K/yr

8+ years exp

Niagara Bottling is seeking a Data Engineering Manager - Advanced Analytics to lead their data and analytics function. This role is responsible for architecting and maintaining the data infrastructure, managing a team of data engineers, and ensuring efficient data ingestion and transformation for analytical consumption.

Food and BeverageSports

H1B Sponsor Likely

Responsibilities

Lead and manage a team of data engineers and analytics professionals, providing strategic direction, mentorship, and hands-on support to foster a collaborative, high-performing team environment focused on delivering impactful data solutions

Establish clear objectives and key results (OKRs) for the team that align with the enterprise analytics and data strategy, ensuring close coordination with business goals and evolving priorities

Conduct regular performance reviews, deliver constructive feedback, and champion continuous learning by identifying training, upskilling, and development opportunities for team members

Partner with cross-functional teams, including business analysts, data scientists, IT, and key business stakeholders, to understand data requirements and deliver solutions that support business intelligence, operational reporting, and advanced analytics use cases

Define and implement best practices in data engineering, covering data modeling, pipeline orchestration (ETL/ELT), data integration, and data quality, while ensuring reliable access to data from diverse sources such as databases, APIs, cloud platforms, and IoT systems

Drive continuous improvement and innovation in data architecture and engineering techniques, with a focus on increasing scalability, performance, and reusability across the analytics ecosystem

Oversee project planning and execution, balancing team capacity with priority management, delivery timelines, and quality standards to ensure successful outcomes for strategic and operational analytics initiatives

Collaborate with cross-functional business and IT stakeholders to define and implement data and analytics strategies that support enterprise decision-making, ensuring data integrity, security, and governance across all analytical initiatives

Provide technical leadership in data engineering and analytics infrastructure, leveraging modern cloud-native tools to enable high-performance data platforms that support BI, reporting, and advanced analytics

Champion a culture of data innovation and continuous learning, encouraging the team to explore new data patterns, tooling, and architectural practices that improve scalability, reliability, and time-to-insight

Oversee resource planning, vendor coordination, and budget management for the analytics engineering function, ensuring alignment with strategic priorities and operational efficiency

Lead the design and implementation of high-volume, scalable data pipelines, models, and data marts across Data Lakes and Data Warehouses to support reporting, dashboarding, and analytics workloads

Translate technical and project outcomes into business context through executive-ready presentations and analytics steering committee briefings, facilitating alignment and decision-making

Demonstrate proficiency in Microsoft Azure Cloud (preferred) and/or Amazon Web Services, particularly within data engineering and analytics service ecosystems (e.g., Azure Data Factory, Synapse, Databricks, Redshift)

Build and manage DevOps pipelines for CI/CD and analytics solution deployment, ensuring consistency, automation, and compliance with change control standards

Serve as a proactive leader who delivers on commitments and identifies opportunities for process improvement, team development, and organizational data literacy

Coordinate and collaborate with onsite and offshore consultants to support scalable delivery and knowledge transfer across global analytics initiatives

Maintain flexibility and responsiveness to evolving business needs; this job description may be adjusted to reflect emerging priorities or strategic direction

Qualification

Data engineeringCloud platformsData pipelinesGenerative AIProject managementPython/RETL processesData warehousingDevOpsPlanning/OrganizingLeadership skillsCommunication skillsCollaboration skillsProblem-solving skillsTeamworkAdaptability

Required

8-10 years – Experience managing a team of full time direct reports, to include mentoring, coaching, performance reviews, and team building activities

8-10 years – Experience in data modeling, ETL processes, and data warehousing

8-10 years – Experience in building and managing enterprise scale data pipelines

8-10 years – Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)

8-10 years – Experience in DevOps, CI/CD pipelines

8-10 years – Experience in Python/R, Spark/Kafka

8-10 years – Experience with Azure Databricks/Data Factory or similar technology

8-10 years – Experience in Project management

Bachelor's Degree in Computer Science or Engineering

None Required

Preferred

10 years – Experience managing a team of full time direct reports, to include mentoring, coaching, performance reviews, and team building activities

10+ years – Experience in data modeling, ETL processes, and data warehousing

10+ years – Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)

10+ years – Experience in DevOps, CI/CD pipelines

10+ years – Experience in Python/R, Spark/Kafka

10+ years – Experience with Azure Databricks/Data Factory or similar technology

10+ years – Experience in Project management

2 years – Experience with Large language Models and building Gen AI applications

Master's Degree in Computer Science or Engineering

Data Engineering/Cloud certifications/Gen AI

Benefits

Paid Time Off for holidays, sick time, and vacation time

Paid parental and caregiver leaves

Medical, including virtual care options

Dental

Vision

401(k) with company match

Health Savings Account with company match

Flexible Spending Accounts

Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members

Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements

Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan

Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc.

Tuition reimbursement, college savings plan and scholarship opportunities

And more!

Company

Niagara Bottling

Glassdoor3.7

Niagara Bottling provides bottled water and bottled sports drinks.

Founded in 1963

Philadelphia, Pennsylvania, USA

5001-10000 employees

http://www.NiagaraWater.com

H1B Sponsorship

Niagara Bottling has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (85)

2024 (88)

2023 (115)

2022 (64)

2021 (80)

2020 (81)