Top Tech Jobs & Startup Jobs

Owns product strategy, roadmap, requirements, backlog, and prioritization for digital banking capabilities. Gathers stakeholder needs, translates them into user stories, partners with vendors and technology teams, supports user acceptance testing and implementation readiness, and aligns payments, marketing, operations, and customer-facing functions. The role requires extensive product management experience in digital banking, online banking, payments, or financial services.

Designs and implements secure, scalable GCP solutions; leads cloud migration and modernization initiatives; builds GKE Kubernetes platforms; develops Terraform infrastructure; and implements CI/CD, automation, and SRE practices. Collaborates with enterprise clients, translates business needs into technical architectures, mentors team members, supports pre-sales, and helps adopt Google AI services including Vertex AI, BigQuery, and Dataflow.

Designs and develops scalable data pipelines, ETL/ELT processes, and integrations that synchronize enterprise data into Algolia indices. Optimizes indexing performance, data quality, and search relevance while implementing monitoring, governance, and validation. Collaborates with application, product, and business teams to define search requirements, troubleshoots synchronization and performance issues, and supports integrations with CMS, eCommerce, enterprise, and customer-facing platforms.

Designs and maintains scalable data pipelines, data models, semantic layers, data marts, and Tableau reporting solutions. Partners with stakeholders to translate reporting needs into technical solutions, while ensuring data quality, governance, performance, and reliability. Optimizes SQL queries, ETL/ELT processes, data warehousing, and Tableau performance across large-scale cloud data platforms. Collaborates with architects, analysts, and engineering teams on enterprise data solutions.

Leads end-to-end enterprise data and analytics projects across cloud platforms, data pipelines, integrations, data warehouses, lakehouses, and business intelligence solutions. Manages project plans, budgets, resources, risks, dependencies, stakeholders, delivery methodologies, change requests, and production support. Coordinates technical and business teams while overseeing data quality, SQL validation, incident resolution, SLA performance, and operational transition.

Leads enterprise data onboarding, integration, migration, remediation, and readiness initiatives. Coordinates engineering, analytics, architecture, governance, and business teams across concurrent workstreams. Oversees Snowflake integrations, data ingestion, transformation, validation, reconciliation, quality controls, and issue resolution. Manages project plans, risks, dependencies, Agile ceremonies, escalations, and leadership reporting while ensuring data accuracy, completeness, consistency, and compliance.

Leads end-to-end data migration projects, including profiling, quality assessment, source-to-target mapping, transformation logic, cleansing, validation, reconciliation, and UAT support. Collaborates with stakeholders to define requirements and acceptance criteria, recommends migration strategies, monitors risks, maintains governance and security standards, and produces documentation, reports, and quality metrics.

Provides end-to-end architecture for PIM, commerce, and data ecosystems. Designs integrations, data models, scalable cloud solutions, and architecture roadmaps; leads proof-of-concepts, client workshops, governance, and technical strategy. Supports Agile teams, resolves dependencies, mentors engineers, standardizes architecture practices, and contributes to pre-sales and proposal development.

Leads enterprise data solution architecture by gathering business and technical requirements, designing integrations, data models, and architecture diagrams, and presenting solutions through governance reviews. Establishes reusable data patterns and best practices while collaborating with engineering, analytics, and product teams to deliver scalable data products. Requires extensive data or solution architecture experience, Snowflake and AWS expertise, and strong stakeholder communication skills.

Gather and document business and data requirements, create functional specifications and source-to-target mappings, and analyze healthcare payer datasets using SQL and Databricks. Define transformation rules with technical teams, support UAT and data validation, document data lineage and dictionaries, identify data quality issues, and facilitate communication between stakeholders and engineering teams to improve reporting and operational efficiency.