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Designs and optimizes data-driven systems and processes for a nonprofit university endowment, focusing on Salesforce, CRM, and financial systems integration. Leads technical solutions, automations, and AI adoption while ensuring data integrity and scalability across cloud platforms.
Build and maintain governed, scalable analytics pipelines using dbt, SQL, and Python to turn raw data into actionable insights for business decisions in a global car-rental platform.
Bridge business needs and tech teams for a banking client: design REST APIs, model data, and document processes while ensuring governance and compliance.
Design and evolve data governance frameworks, standards and quality processes for a large organization, ensuring alignment with business strategy and adoption across teams.
Designs and evolves enterprise analytics/data architecture, defining target architectures, standards, and transformation roadmaps for platforms like SAP BW and cloud-native analytics, ensuring alignment across business and tech domains.
Consultant designs and builds cloud data pipelines, warehouses, and platforms for clients, advising on architecture, governance, and modern data tech like AWS/Azure and Spark.
Consultant designs and implements cloud data platforms and pipelines for clients, translating business needs into scalable architectures using AWS/Azure/GCP, SQL, Python, and big-data tools.
As a Data Security Sales Manager at a leading Value-Added Distributor, you act as a strategic consultant to Chief Data Officers and Privacy Officers, bridging legal compliance and technical enforcement to sell data protection products like Fortanix, Mage Data, and Seclore, while driving revenue and delivering technical demos.
Lead Data Engineer working on a Financial Services engagement to analyze a large, legacy SQL Server estate using AI-assisted tools (Claude) and AWS RDS. Responsibilities include leading analysis, mentoring a team, and advising on modernization, with core technologies including SQL Server, T-SQL, Python/PowerShell, and AWS.
We are seeking a hands-on Lead Engineer to build and run mission-critical Real-Time Payments (RTP) services with strong ownership across engineering, resiliency, release readiness, and incident response. The role…
Designs and governs enterprise data architecture on cloud platforms, building scalable data warehouses, lakes, and pipelines to support analytics and reporting.
Design and scale enterprise-grade Databricks Lakehouse platforms using Spark, Delta Lake, and cloud ecosystems. Drive architecture strategy and data modernization initiatives.
Build automated monitoring systems to track regulatory compliance (e.g., EU AI Act) and internal governance policies using SQL, Airflow, and Snowflake.
Leads design and implementation of a scalable data quality framework using Great Expectations, ensuring enterprise-wide data reliability. Focuses on validation, observability, and integration with CI/CD pipelines for critical datasets and workflows.
Build and own a modern data-quality framework using Great Expectations and Redshift, implementing automated validation, observability, and CI/CD integration to prevent enterprise-scale data issues.
Owns financial data migration for Oracle Fusion while building AI-powered agents and LLMs to automate data quality, anomaly detection, and predictive analytics in finance operations.
Designs and optimizes data infrastructure for a new enterprise project, focusing on modeling, integrating heterogeneous data sources (SAP, PostgreSQL, MySQL), and building scalable pipelines with cloud tools (Azure/AWS).
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Designs and implements scalable, secure enterprise data platforms using Databricks, Azure, and cloud technologies to enable analytics and business decision-making. Mentors teams and establishes architectural standards.
Data Engineer at Henkel supporting the development and operation of the enterprise metadata platform DataHub. Builds scalable data engineering and governance solutions connecting enterprise platforms into a centralized ecosystem, working with technologies like Databricks, Power BI, SAP, Azure Synapse, and AKS.
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