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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Manager Data Engineering & Analytics - **Company:** Upclear, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $150,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, C Sharp (Programming Language), Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Meta-Data Management, Raw Data, Power BI, SQL Databases, Systems Integration, Tableau (Software), Technical Data Management Systems, Azure Data Factory, Snowflake, Data Strategy, Information Technology, Data Analytics, Data Management, Databricks, Web Api, Programming Languages - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0b8da46dafad0207 ## About the Role Do you have experience in Technology management?, Do you have a Master's degree?, * 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) * 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. ## Description 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., * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager)