Sr. Manager Data Engineering & Analytics

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.

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or a 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).
• The ability to translate technical data models into business value.
• Hands-on mindset: comfortable contributing technically while shaping the strategic direction.

Benefits

• Be part of a growing global SaaS company, with offices in NYC, London, Paris, Singapore
• Work on 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.
• Competitive Salary ($150K - $200K)
• Variety of Health Care Plans
• Retirement Plan with company match (401k, 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