Sr. Manager, Data Engineering

• Drive a customer-first mindset across service functions and embed continuous improvement into team practices.

• Maintain and evolve platform engineering standards, reporting frameworks, and knowledge assets.

• Govern technical changes with transparency, and lead programs focused on service reliability and learning.

• Lead recruitment, coaching, and performance development efforts while fostering a high-challenge, high-support culture—setting clear expectations, recognizing strengths, and championing individual growth.

• Ensure scalable systems and processes are in place to protect data, network access, and backups; lead operational audits and improvements.

• Oversee data security, vendor relationships, and budget management to align with strategic goals.

• Ensure secure IT asset management and mentor the team on technical best practices.

• Lead resolution of complex issues through strategic, root-cause analysis and forward-focused solutions that prevent recurrence.

• Break down silos through strong cross-functional collaboration, aligning stakeholders and inviting diverse perspectives to challenge assumptions and co-create solutions.

• Optimize architecture and service design using a systems-thinking approach; leverage key metrics to drive continuous improvement.

• Guide data reporting and strategy to deliver business value, partnering with leadership to translate goals into actionable data platform initiatives.

• Champion agile delivery, user-centric design, and iterative improvement across all technical activities.

• Remove barriers and model a customer-first mindset at every layer of team operations.

• Coach and mentor team members through structured feedback and development, fostering a psychologically safe, accountable culture rooted in trust and continuous learning.

• Oversee resource planning and project delivery, empowering team members by distributing decision-making authority and encouraging ownership at all levels.

• Manage core people processes—including performance reviews, onboarding, and promotions—while partnering with HR on employee relations, conflict resolution, and other sensitive matters.

• Act as liaison between leadership and execution teams; represent the group in interdepartmental initiatives.

• Prepare and present recurring team reports (e.g., KPIs, dashboards, strategic updates) for leadership.

• Maintain consistency across documentation, templates, SOPs, team standards, and best practices to support operational clarity, efficiency, and alignment with Inmar’s standards.

• 10+ years in senior or lead platform, data, or software engineering roles, with proven experience managing and mentoring engineering teams of 5+ members across multiple time zones

• Expertise in designing, building and optimizing big data pipelines, architecture, and cloud-native solutions

• Proficiency in scripting languages such as Python and/or Scala

• Deep experience with Google Cloud (preferred), with additional proficiency in AWS and Azure

• Hands-on experience with GCP tools: BigQuery, Dataflow, Dataproc, DataStream, Datafusion, Dataprep, Cloud Storage, Composer, Cloud Functions, Pub/Sub

• Strong knowledge of SQL and NoSQL databases (e.g., Postgres, SQL Server, Cassandra)

• Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and orchestration tools like Apache Airflow

• Proven ability to lead Agile teams and translate technical insight into business value

• Strong collaboration skills with experience leading cross-functional teams in dynamic environments

• Experienced in leading root cause analyses and applying insights to improve systems, drive data strategy, and deliver scalable, data-driven solutions.

• Experience with Infrastructure as Code (IaC) tools like Terraform

• Hands-on with Google Cloud Build and Cloud Run for CI/CD and serverless deployment

• Experience with AI/ML, including Vertex AI and AI-driven data enrichment, automation or analytics

• Exposure to ERP systems such as Oracle Cloud ERP, SAP, or Salesforce

• Familiarity with dbt, Iceberg, and data federation/querying tools like Starburst or Trino

• Familiarity with collaboration and delivery tools such as Jira, Confluence, and GitHub

At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages.

Eligible associates have access to:

• Medical, Dental, and Vision insurance

• Basic and Supplemental Life Insurance options

• 401(k) retirement plans with company match

• Health Spending Accounts (HSA/FSA)

We also offer:

• Flexible time off and 11 paid holidays

• Family-building benefits, including Maternity, Adoption, and Parental Leave

• Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning

• Wellness and Mental Health counseling services

• Concierge and work/life support resources

• Adoption Assistance Reimbursement

• Perks and discount programs

Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms.

We are an Equal Opportunity Employer, including disability/vets.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.