Jobs at Blend360

Build and maintain scalable Databricks data pipelines and governed data products for marketing analytics and audience activation. Responsibilities include modeling marketing and customer identity data, implementing consent and PII controls, integrating SQL Server sources, translating legacy SQL logic, delivering audiences to Adobe Campaign or Segment, and developing CI/CD workflows, data quality tests, semantic layers, data dictionaries, and ERDs.

Leads customer analytics and measurement initiatives, translating analytical findings into business recommendations, customer growth and retention programs, targeting strategies, and measurable outcomes. Partners with analytics, marketing, strategy, and executive stakeholders to define KPIs, evaluate performance, build alignment, and drive action. Presents insights to senior leaders and uses Tableau, AI-enabled tools, and executive presentations to connect customer behavior and business performance to strategic decisions.

Lead the design, development, and maintenance of enterprise data solutions. Build ETL pipelines integrating operational data sources, manage AWS processing resources, validate datasets for Tableau, optimize data structures and workloads, troubleshoot discrepancies, and collaborate with engineering, application development, and data product teams.

Lead the design, development, and maintenance of enterprise data solutions. Build ETL pipelines integrating operational and interaction data, manage AWS processing resources, validate datasets for Tableau, optimize data structures and workloads, troubleshoot discrepancies, and collaborate with engineering and data product teams.

Lead enterprise data engineering solutions across warehouses, operational data stores, and data pipelines. Build scheduled ETL workflows, integrate operational sources, manage AWS processing resources, validate outputs, and prepare datasets for Tableau. Design efficient data structures, troubleshoot pipeline issues and discrepancies, and collaborate with engineering, application development, and data product teams. The role requires strong SQL, Spark, AWS, data integration, and data architecture expertise.

Build and optimize enterprise Tableau dashboards, data sources, calculations, and extracts while supporting Power BI and Microsoft Fabric solutions. Manage Tableau governance, security, permissions, performance, and administration. Serve as the escalation point for complex issues, establish development standards, mentor developers, and advise clients on BI adoption and platform roadmaps. Collaborate with technical and business stakeholders to deliver scalable, governed analytics solutions.

Manage end-to-end implementation of consumer credit card programs within an issuer environment. Build execution roadmaps, coordinate cross-functional stakeholders, track dependencies and risks, support change management, and coordinate vendors and partners. The role drives alignment across credit, marketing, operations, technology, analytics, compliance, and risk teams while ensuring deliverables, decisions, and timelines remain on track.

Manage end-to-end marketing campaign and creative project delivery across planning, briefing, development, approvals, and execution. Coordinate internal teams, agencies, stakeholders, analytics, compliance, and risk partners in a regulated financial services environment. Maintain timelines, dependencies, documentation, quality assurance, and stakeholder alignment across concurrent campaigns. Review performance dashboards and translate customer and campaign insights into actionable recommendations. Improve campaign workflows while ensuring brand, regulatory, and approval requirements are met.

Design, build, and optimize scalable data pipelines and ETL/ELT workflows using Azure Databricks, Python, SQL, PySpark, and Spark. Manage Delta Lake tables and integrate Azure Data Lake Storage. Work with structured and semi-structured data, optimize performance and cost, ensure data quality and governance, and support analytics and machine learning use cases. Collaborate with data scientists, analysts, and stakeholders while applying security, access control, monitoring, and modern data engineering practices.

Designs and maintains scalable ETL/ELT pipelines using Matillion, develops Python data-processing frameworks, and builds optimized Snowflake data warehouses. Responsibilities include data modeling, query tuning, source integration, data quality and monitoring, automation, testing, deployment, documentation, and production support. The role collaborates with stakeholders and engineering teams while applying security, governance, and Agile practices.

Analyze large campaign datasets using Python and SQL, build and manage marketing audiences, support end-to-end campaign execution, and develop reporting dashboards and automation. The role validates data quality, maintains campaign mappings and metadata, identifies performance insights, and partners with marketing stakeholders on audience strategy, optimization, and business decisions.

Designs, develops, and optimizes scalable ETL/ELT pipelines and Snowflake data warehouse solutions. Builds Python automation and data processing frameworks, creates data models and transformations, integrates structured and unstructured data, and implements data quality, monitoring, and error handling. The role also involves Snowflake performance tuning, collaboration with stakeholders and engineering teams, code reviews, testing, deployment, production support, and adherence to security and governance practices.

Build and deploy an enterprise Tableau-to-Power BI migration platform. Develop React and Streamlit frontends, Python backend services, REST APIs, and integrations with Tableau, Microsoft Fabric, and Power BI. Manage migration workflows, semantic models, DAX, RLS, authentication, security, containerization, CI/CD, infrastructure as code, monitoring, and production troubleshooting across cloud and on-premise environments.

Provides tier 2 and 3 technical support across Windows and Mac environments, including software, applications, email, devices, accounts, and access management. Supports employee onboarding and offboarding, cybersecurity activities, documentation, and training. Collaborates on application enhancements and uses AI tools and low-code automation to develop scripts, workflows, and small applications that improve IT and business processes.

Own the strategy, roadmap, development, and go-to-market execution for four audience and media data products. Partner with Data Science, Data Engineering, Sales, Marketing, agencies, and brands to define requirements, guide development, launch products, drive adoption, gather customer insights, and evolve capabilities across audience targeting, activation, and campaign measurement.

Own the strategy, roadmap, requirements, and ongoing development of a Snowflake data clean room platform. Partner with Data Science, Data Engineering, and external stakeholders to define privacy-safe data collaboration, matching, sharing, onboarding, and interoperability requirements. Lead technical documentation, partner integrations, testing, troubleshooting, and product improvements across Snowflake, Amazon, and The Trade Desk environments.

Supports Marketing and Legal teams by developing legal intake briefs, drafting marketing contracts and BIAs, maintaining standardized templates, tracking document workflows, centralizing legal document libraries, and recommending process improvements. Collaborates with legal, marketing, and business stakeholders to finalize accurate documentation and improve legal operations.

Lead an enterprise Tableau-to-Power BI migration by translating dashboards, calculations, data models, and business logic into scalable Power BI solutions. Develop advanced DAX models, Microsoft Fabric integrations, and optimized reports; implement security, governance, APIs, automation, and deployment practices. Troubleshoot performance issues, validate migrations, establish standards, and provide technical leadership to BI developers and stakeholders.

Leads the design and implementation of scalable data ingestion, transformation, and ELT pipelines using SQL, dbt, and AWS Athena. Owns data modeling, Medallion Architecture, data quality frameworks, validation, monitoring, query optimization, documentation, and continuous improvement. Provides technical leadership in data engineering and governance, identifies pipeline risks and bottlenecks, and collaborates directly with clients.

Lead hands-on end-to-end development for a key product module, with primary ownership of Python and Flask backend architecture, API design, cloud deployments, databases, testing, security, and CI/CD. Contribute to React and TypeScript frontend work, troubleshoot production issues, mentor engineers, guide architecture and code quality, and apply AI-assisted and agent-based engineering workflows to improve productivity, QA, and automation.