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Lead/Principal-level Data/AI Architect at BCG Platinion advising clients on modern data architectures, governance frameworks, and AI-ready strategies across cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with a focus on strategic guidance rather than hands-on implementation.
Leads data modelling and architecture for a UK enterprise modernizing its Azure Data Lakehouse, ensuring scalable, governed solutions for reporting and analytics. Focuses on Medallion Architecture, Kimball methodologies, and cloud-based data platforms.
The Senior Data Architect will design and govern enterprise-wide data models using Medallion Architecture and Kimball methodologies within an Azure-based ecosystem. This role involves defining data standards, managing metadata, and collaborating with engineering teams to support the organization's transition to advanced analytics.
The Senior Data Architect will lead data modelling and architecture design within an Azure Data Lakehouse environment for a professional services firm. The role focuses on establishing governance, scalable data structures, and collaborating with engineering teams to support large-scale data transformation.
The Data Architect will lead the evolution of enterprise data platforms and drive transformation initiatives for a leading insurance organization. The role requires expertise in SQL, PostgreSQL, and modern data platforms like Snowflake or Databricks within the London Market insurance sector.
Principal engineer on Salesforce's Developer Experience team, designing and building backend services, event-driven systems, AI agent runtimes, and RAG pipelines for a Snowflake-based lakehouse using Python/Go/Java and AWS.
Sr. Data Engineer designing and building scalable data platforms, ETL pipelines, and BI solutions using SQL, Python, Databricks/Spark, and Azure cloud services for a community oncology healthcare company.
Senior Data Engineer building high-volume data processing pipelines on Redshift, Athena, Iceberg, Spark, and Airflow to support data scientists analyzing global internet performance data.
Technical Program Manager on the Data Engineering team driving roadmap, risk, and cross-cutting programs for the firm's data curation capabilities (data modelling, APIs, SQL) and Lakehouse cloud data store, partnering closely with engineers and architects.
Designs and governs data architecture for AI-ready datasets, pipelines, and analytics at a leading consumer-finance company, focusing on cloud platforms and financial data domains.
Principal Product Manager owning Disney's Data Growth Platform end-to-end — spanning data pipelines, identity resolution, audience analytics, governance, activation, and measurement — to drive marketing outcomes across all Disney business segments.
Lead a team building cloud services and APIs for Amazon’s satellite internet network, Leo, focusing on low-latency analytics and AI-driven decision-making across globally distributed systems.
Build and ship data pipelines and platform capabilities for Amazon Ads' reporting data layer, processing 40B records/day on a Lakehouse architecture with Java, Python, TypeScript (AWS CDK), Spark, Iceberg, and AWS services.
Early-career Data Engineer building scientific data products and scalable data pipelines using Databricks, SQL, Python, and AWS to support AI/ML and analytics across pharmaceutical product development in Hyderabad.
Senior Partner Solutions Engineer at Cloudera: a pre-sales role focused on advising system integrators, ISVs, and hyperscalers on data-platform architectures, co-selling joint solutions, and driving technical wins across Brazil.
Business Area: Sales Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the…
Data Engineer building and optimizing ETL/ELT pipelines on an open-source, AWS-based stack (dbt, ClickHouse, Airflow/Dagster, Python, SQL) for an ad intelligence platform, migrating away from Azure Databricks.
Principal Product Manager owning Disney's Data Growth Platform end-to-end — spanning data pipelines, identity/household resolution, audience analytics, governance automation, and activation across all Disney segments — with deep hands-on involvement in data models, privacy compliance, and marketing business outcomes.
Principal engineer building and scaling Databricks-based AI/ML platforms for JPMorgan’s data analytics office, driving secure, agentic workflows and enterprise-grade automation.
Architects and governs the Workforce data domain at JPMorgan Chase, designing canonical models and curated data products using Databricks and SQL.
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