Sr. Data Architect

UpClear Inc.; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Medical, Dental & Vision healthcare plans

Retirement plan with company match

Generous paid time-off package

Paid maternity leave

Paid parental bonding leave

One month paid sabbatical after five years

Job summary

UpClear Inc. is looking for a Sr. Manager Data Engineering & Analytics in New York City. This role is pivotal in defining our data strategy and scaling our data practice, focused on governance and delivering insights.

The ideal candidate will have over 8 years of experience in data engineering and leadership, expertise with modern data stack technologies, and a hands-on mindset. A hybrid work model is offered with a competitive salary range of $150K - $200K.

Qualifications

• 8+ years of experience in data engineering, with 3+ years in a leadership role.
• Experience building and scaling data teams and platforms.
• Strong understanding of modern data stack technologies.

Responsibilities

• Define and implement data strategy, architecture, and roadmap.
• Partner with leaders to translate data into actionable insights.
• Design and maintain scalable data architectures and pipelines.

Skills

Data engineering

Leadership

SQL

Cloud data tools

Data governance

Programming (Python, C#)

Education

Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or related field

Tools

Snowflake

Azure Data Factory

Databricks

Power BI

Tableau

Job description

ABOUT UPCLEAR

UpClear delivers a SaaS revenue management platform that is used by some of the most recognizable consumer goods brands in the world. Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business Planning and Revenue Management. We serve more than 80 brands in over 30 countries. Our growth is substantial and consistent; we have been on the Inc 5000 list of fastest growing private companies for eight years in a row. UpClear's global headquarters is in New York City and we have satellite offices in London, Paris, and Singapore.

POSITION OVERVIEW

We are hiring a Sr. Manager Data Engineering & Analytics to define our data strategy and build a high-performing data practice. You’ll design and operate scalable data platforms, establish governance and quality standards, and partner with business and product leaders to turn data into decisions. This role blends leadership and hands‑on execution. You’ll mentor engineers while shaping architecture, optimizing pipelines, and driving reliable, accessible data across the company.

Please note: We are not able to provide sponsorship for employment authorization at this time.

This role requires 4 days onsite collaboration per week. You must be able to commute to our West 22nd Street office in New York.

RESPONSIBILITIES

• Define and implement the data strategy, architecture, and roadmap aligned with company objectives.
• Establish best practices for data management, quality, and governance across the organization.
• Partner with business, product, and engineering leaders to translate data into actionable insights and scalable systems.
• Build, lead, and mentor a multidisciplinary data team (data engineering, analytics).
• Design, develop, and maintain scalable data architectures and pipelines (including data warehouse, ETL/ELT, and data models).
• Oversee data visualization and reporting infrastructure to ensure reliable, consistent insights across teams.
• Bridge data engineering and analytics functions, ensuring alignment between raw data pipelines and business intelligence outputs.
• Oversee integration of disparate data sources into unified and reliable data platforms.
• Ensure high performance, availability, and accuracy of data systems across environments and regions.
• Remain hands‑on with key technologies (SQL, cloud data tools) as needed to accelerate implementation.
• Evaluate and introduce new technologies and practices that enhance data quality, governance, and observability.
• Implement robust data governance frameworks, policies, and compliance standards.
• Establish and monitor data quality KPIs and SLAs.
• Support operational and executive reporting initiatives with clean, well‑modeled data.

QUALIFICATIONS

• Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or related field.
• 8+ years of experience in data engineering, with 3+ years in a leadership or management role.
• Proven experience building and scaling data teams and platforms from early stage to maturity.
• Experience managing both data engineers and analysts, or working across both functions.
• Strong understanding of modern data stack technologies (e.g., Fabric, dbt, Snowflake, Azure Data Factory, Databricks, Airflow).
• Expertise in SQL and at least one programming language (Python, C#, etc.).
• Experience with data governance, lineage, and metadata management tools.
• Strong understanding of analytics workflows and BI tools (Power BI, Tableau).
• Professional experience integrating in‑house AI models and API calls to foundational models (OpenAI, Anthropic).
• The ability to translate technical data models into business value.
• Hands‑on mindset: comfortable contributing technically while shaping the strategic direction.

WHY UPCLEAR?

• Be part of a growing global SaaS company, with offices in NYC, London, Paris, Singapore.
• Work on the latest Cloud technology and build architecture for fast‑growing tech.
• Weekly happy hours, good office culture, global cross‑team collaboration, direct access to executive leadership for guidance.

BENEFITS

• Various health‑care plans (Medical, Dental & Vision) to choose from.
• Retirement plan with company match (401(k), IRA).
• Generous paid time‑off package that grows with seniority (vacation, sick, and public holidays).
• Paid maternity leave.
• Paid parental bonding leave.
• One month paid sabbatical after five continuous years of work at UpClear.
• Hybrid work model.
• Competitive salary ($150K - $200K).

The salary range listed is a good‑faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary, several factors may be considered as applicable including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority.