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Metropolis Technologies

6 Metropolis Technologies Business Development 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 ... business stakeholders to own project scopes • Mentor others on data best practices to drive ...

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Metropolis Technologies Jobs Information

What are the key skills and qualifications needed to thrive as a Business Development professional, and why are they important?

To thrive as a Business Development professional, you need strong market research skills, sales acumen, networking ability, and typically a degree in business or a related field. Familiarity with CRM software, data analysis tools, and lead generation platforms is often required. Exceptional communication, negotiation, and relationship-building skills help you stand out in this role. These skills are crucial for identifying growth opportunities, forging strategic partnerships, and driving revenue for the organization.

What are some common challenges faced by business development professionals when entering new markets?

Business development professionals often encounter challenges such as understanding local customer needs, navigating unfamiliar regulations, and building new relationships in untapped markets. They must adapt strategies to fit cultural differences and market dynamics, which may require additional research and flexible thinking. Collaborating with local teams, leveraging existing networks, and staying updated on market trends can help overcome these obstacles and pave the way for successful market entry.

What is business development?

Business development refers to the strategies, activities, and processes that organizations use to grow and expand their business. This can include identifying new markets, forming partnerships, generating leads, and creating long-term value for the organization. Professionals in business development often work closely with sales, marketing, and product teams to drive growth and increase revenue. Their role is crucial for helping companies find new opportunities and stay competitive in the market.

What is the difference between Business Development vs Sales?

AspectBusiness DevelopmentSales
Primary FocusIdentifying new market opportunities and partnershipsClosing deals and generating revenue
Work EnvironmentStrategic planning, market research, relationship buildingClient meetings, negotiations, direct selling
Required SkillsNetworking, strategic thinking, industry knowledgeCommunication, persuasion, product knowledge
Common CertificationsBusiness development certifications, MBA often preferredSales certifications, product-specific training

While both roles aim to grow the company's revenue, Business Development focuses on creating strategic partnerships and exploring new markets, whereas Sales concentrates on closing deals with clients. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your business needs.

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 Business Development 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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