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Metropolis Technologies

7 Metropolis Technologies Program Management Jobs Hiring Near You

Metropolis Technologies

Senior Analytics Engineer

Seattle, WA · On-site

$118.90K - $163.30K/yr

Metropolis Technologies is pioneering the Recognition Economy with innovative artificial ... Manage and optimize DAGs, including troubleshooting task failures and improving run times • ...

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Metropolis Technologies Jobs Information

What are the key skills and qualifications needed to thrive as a Program Manager, and why are they important?

To thrive as a Program Manager, you need expertise in project planning, resource allocation, risk management, and a solid understanding of program life cycles, often supported by a bachelor's degree and experience in project or program management. Familiarity with tools like Microsoft Project, Jira, and certifications such as PMP or PgMP is typically required. Excellent leadership, communication, and problem-solving skills help in coordinating cross-functional teams and managing stakeholder expectations. These skills ensure that complex programs are delivered on time, within scope, and aligned with organizational goals.

How does a Program Manager typically collaborate with cross-functional teams to achieve project goals?

Program Managers work closely with cross-functional teams such as engineering, marketing, finance, and operations to align project objectives with organizational strategy. They facilitate communication, coordinate resources, and manage dependencies across teams to ensure milestones are met on schedule. Regular meetings, status updates, and transparent documentation are key practices, helping to address challenges proactively and keep everyone on track. This collaborative approach not only drives program success but also builds strong professional relationships across the organization.

What is program management?

Program management is the coordinated oversight and management of multiple related projects that align with an organization's strategic objectives. Program managers ensure that projects within a program are executed efficiently, risks are managed, and benefits are realized. They focus on aligning project outcomes with business goals, optimizing resources, and communicating progress to stakeholders. Unlike project managers, who handle individual projects, program managers oversee a collection of projects to deliver greater value.

What is the difference between Program Management vs Project Management?

AspectProgram ManagementProject Management
FocusOversees multiple related projects to achieve strategic objectivesManages individual projects to meet specific goals
ScopeBroader, involving multiple projects and stakeholdersNarrower, focused on specific deliverables
ResponsibilitiesAligns projects with organizational strategy, manages interdependenciesPlans, executes, and closes individual projects
CertificationsPMP, PgMP often preferredPMP commonly required

While both roles require strong organizational and leadership skills, program management focuses on coordinating multiple projects to achieve strategic goals, whereas project management concentrates on delivering specific project outcomes efficiently.

What are the most popular job types at Metropolis Technologies?
    What are the most popular jobs at Metropolis Technologies?
    What are the most popular categories at Metropolis Technologies?
    Infographic showing various Program Management job openings at Metropolis Technologies in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

    Senior Analytics Engineer

    Metropolis Technologies

    Seattle, WA • On-site

    $118.90K - $163.30K/yr

    Full-time

    Posted 14 days ago

    Job description

    Job Summary:
    Metropolis Technologies is pioneering the Recognition Economy with innovative artificial intelligence solutions. They are seeking a Senior Analytics Engineer to design and implement large-scale data warehouses, build data transformation pipelines, and ensure data accessibility and actionability across the company.
    Responsibilities:
    • Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
    • Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
    • Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
    • Manage and optimize DAGs, including troubleshooting task failures and improving run times
    • Implement metadata management, data lineage, and security principles such as least-privilege access
    • Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
    • Partner with engineering, data science, and business stakeholders to own project scopes
    • Mentor others on data best practices to drive impact through your data vision
    • Provide architectural guidance to ensure data is accessible and actionable across the company
    • Drive technical excellence within the data engineering and analytics domain
    Qualifications:
    Required:
    • 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
    • 3+ years of experience with dbt
    • Owned large-scale data projects that drove significant impact through effective cross-functional partnering
    • Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
    • Expert at SQL, window functions, and query optimization for complex data manipulations
    • Applied performance best practices, including partitions, sort keys, and incremental modeling
    • Designed systems using test-driven approaches to ensure data quality and flow integrity
    • Familiarity with ELT processes and tools to prepare and clean data for analysis
    • Skill in using tools like dbt to build data transformation pipelines
    • Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
    Preferred:
    • A dbt certification
    Company:
    Metropolis is building AI for the real world. Founded in 2017, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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