Top Senior Data & Analytics Jobs

Designs and supports end-to-end BI solutions spanning data ingestion, modeling, semantic layers, dashboards, system integrations, governance, and data quality. Partners with data engineering and finance teams to optimize pipelines, improve reporting, and resolve integration issues. Supports advanced analytics and data science initiatives through data exploration, feature preparation, and model evaluation. Requires strong SQL, data warehousing, dimensional modeling, and project leadership skills, with preferred experience in ETL tools, governance frameworks, and modern analytics platforms.

Leads the digital construction platform strategy for a major infrastructure project. Manages a team responsible for Procore administration, analytics, dashboards, and process automation. Translates departmental processes into standardized digital workflows, configures Procore, integrates project systems, builds Power BI reporting, and automates processes with Power Automate. Provides platform governance, user training, troubleshooting, documentation, and ongoing support while coordinating data management and adoption across project departments.

Build and lead scalable data and machine learning systems for an AI platform automating product regulatory compliance. Responsibilities include designing system architecture, selecting technologies, developing backend and internal services, collaborating with data and ML engineers, and balancing speed with scalability. The role requires strong Python, database, microservices, AWS, and Docker expertise, along with startup product development experience and technical leadership.

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.

Build and operate Sinclair’s enterprise Snowflake data platform, developing production pipelines, integrations, ELT models, data quality controls, observability, governance, and performance optimizations. The role requires hands-on Snowflake, Openflow, SQL, and Python expertise, production troubleshooting, enterprise integrations, deployment practices, and collaboration across technical and business teams. This is an on-site position in Hunt Valley, Maryland.

Business/Systems Analyst supporting a data management program by bridging business and technical teams. Responsibilities include requirements gathering, user story development, SQL and data analysis, source-to-target documentation, data integration design, gap and root cause analysis, technical specifications, testing, reconciliation, dashboard requirements, documentation, and end-user training.

Leads a business intelligence engineering team by setting technical strategy, managing hiring and performance, coordinating sprints and capacity, conducting design reviews, and partnering with stakeholders and peer managers. Oversees data warehouse, BI tooling, and workflow strategy while contributing limited hands-on development, debugging, and fixes. Requires expertise in BI tools, SQL, cloud data warehouses, analytical solutions, and technical team management.

Design, build, test, deploy, and support governed data products and pipelines for supply chain operations. Develop Snowflake and dbt models, optimize workloads, implement data quality and observability controls, and use Databricks and Spark for scalable analytics and AI-ready data foundations. Partner with product, engineering, analytics, and business teams to define requirements and data contracts, lead initiatives through production, document solutions, and improve reliability, security, and engineering standards.

Leads enterprise data governance strategy, policies, quality frameworks, data cataloging, lineage, security, privacy, master data management, and responsible AI governance. Partners with stakeholders to improve data trust, regulatory compliance, and business value. Provides technical expertise in Snowflake, data transformation, and complex SQL while driving adoption of governance standards and practices across the organization.

Leads enterprise data engineering strategy, data lake architecture, platform development, and scalable data product delivery. Manages a global data engineering team, oversees ELT/ETL pipelines, and advances data quality, governance, observability, orchestration, CI/CD, and cloud platform capabilities. Partners with business, operations, product, technology, vendors, and external stakeholders to prioritize logistics-focused initiatives supporting analytics, automation, real-time tracking, supply chain optimization, and AI-enabled decision-making.