Top Data & Analytics Jobs

Build and architect scalable cloud data platforms, pipelines, and applications. Design distributed, real-time, and batch data solutions using Python, Spark, SQL, Databricks, Snowflake, relational and NoSQL databases. Establish reusable engineering patterns, data security controls, and operational standards. Collaborate with product managers, software engineers, analysts, and data scientists while mentoring team members and communicating technical outcomes to stakeholders.

Design, build, and operate scalable cloud data platforms and pipelines using Python, Spark, SQL, Databricks, Snowflake, and relational or NoSQL databases. Develop distributed, real-time, and secure data solutions; enforce engineering standards; collaborate with product, engineering, analytics, and machine learning teams; communicate technical outcomes; and mentor data professionals.

Design, build, and support scalable cloud data platforms, pipelines, and applications. Collaborate with data scientists, analysts, engineers, and product managers; implement data modeling, security, observability, and distributed processing solutions; enforce engineering standards; communicate technical outcomes; and mentor data community members.

Design, build, and operate scalable cloud data platforms, pipelines, and applications. Collaborate with Agile teams, product managers, software engineers, analysts, and data scientists to deliver secure, resilient data solutions. Apply Python, Spark, SQL, relational and NoSQL databases, Databricks, Snowflake, and cloud technologies. Establish engineering patterns, data security controls, observability, and operational best practices while mentoring team members and communicating technical outcomes to stakeholders.

Manage data governance and risk programs for Global Payment Networks. Analyze large datasets, build and validate models, improve data and reporting processes, establish controls, support privacy and regulatory compliance, and lead cross-functional projects. The role also includes mentoring junior analysts, managing concurrent initiatives, and consulting on data systems, product testing, and business intelligence solutions.

Designs, builds, and operates scalable cloud data platforms, pipelines, and applications. The role uses Python, Spark, SQL, Databricks, Snowflake, and relational and NoSQL databases to deliver resilient data solutions. Responsibilities include data modeling, distributed processing, security controls, real-time pipelines, architecture standards, stakeholder communication, mentoring, and collaboration with product and engineering teams.

Designs, builds, and operates scalable cloud data platforms, pipelines, and applications. Leads architectural decisions, evaluates technologies such as Snowflake and Databricks, enforces reusable data engineering patterns, and delivers resilient solutions. Collaborates with product, engineering, analytics, and data science teams while mentoring engineers and communicating technical concepts to stakeholders. Drives large-scale data initiatives independently across distributed, relational, non-relational, real-time, and warehousing environments.

Design, build, and operate scalable cloud data platforms, pipelines, and applications. Lead architectural decisions, establish reusable engineering patterns, evaluate technologies such as Snowflake and Databricks, and deliver distributed, real-time, and warehouse solutions. Collaborate with product, engineering, analytics, and data science teams while mentoring engineers and communicating technical outcomes to stakeholders.

Leads enterprise compliance testing analytics, tooling strategy, and analytical projects. Partners with engineering, data science, legal, compliance, risk, and executive stakeholders to identify and mitigate compliance risks. Evaluates analytical tools, researches emerging practices, communicates findings through reports and presentations, and mentors junior staff. The role requires advanced data analysis, statistical or econometric modeling, large-scale data manipulation, data governance, and people management experience.

Design, build, and support scalable cloud data platforms, pipelines, and applications. The role involves distributed data processing, data modeling, relational and NoSQL databases, data security, observability, orchestration, and real-time pipelines. It also requires influencing cross-functional teams, mentoring data professionals, establishing engineering standards, and communicating technical outcomes to stakeholders.