Manager, Data & Integrations

In this role, you will:

• Lead the data engineering team by driving the design, build, test, and launching of new data pipelines, data models, and predictive models on our production data platform
• Lead a team of data engineers and guide them with the best data strategies in line with data needs
• Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications
• Continuously look for data optimization processes and oversee data management, governance, security, and analysis
• Hire the best talents, identify the potential of each team member and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions
• Manage data delivery through high-performing dashboards, visualizations, and reports
• Ensure data quality and security across every product vertical and related areas
• Design, create and launch new data models and pipelines as per needs
• Act as a project manager for data projects, mentor and grow the team by hiring skilled data engineers
• Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system
• Mentor and grow data warehouse, data modeling, and data visualization team to correctly establish a data-driven culture
• Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products
• Ensure test-driven products/pipelines that are easily maintainable and reusable
• Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources
• Overall build and maintain data foundations that include tools, infrastructure, and pipelines that help the marketing and sales team
• Increase automation and build analytic solutions at scale to serve the business requirements

Minimum requirements for the role:

• Minimum 10+ years of experience in managing, designing, and maintaining large scale data and integration systems solutions
• Bachelors degree in Computer Science, Math, Statistics, Information Systems, Informatics, Analytics, or another quantitative field
• Hands-on experience analyzing, architecting/re-architecting data and analytics platforms on Azure/AWS/GCP
• Must have experience designing and architecting data lakes on cloud platforms and BI tools/solution design.
• Experience developing real time application integration for operational data integrations using tools such as Workato or Mulesoft or other relevant integration tools.
• Experience developing or managing REST APIs
• Programming knowledge and hands-on experience in Python.
• Working knowledge of full software development life cycle that includes planning, coding standards, testing methods, build process, and source control management
• Experience offering technical leadership and guiding teams for data engineering best practices
• Strong knowledge of AWS tools and technologies

An ideal candidate also has:

• 10+ years of experience with very large scale data warehouse projects
• Experience working with APIs to collect or ingest data.
• Experience building APIs
• Strong working knowledge of AWS Databricks, DBT and integration tools such as Workato.
• Knowledge of data security best practices and experience building secure data solutions
• Advanced working SQL knowledge and experience working with a variety of relational databases, query languages, query authoring, and related tools
• Hands-on experience in building data pipelines, platforms, architecture, structures, visualizations, and data modeling
• Optimize data models and conduct performance engineering for large scale data
• Knowledge of data visualizations and self-service data preparation tools to maintain the flow of data for the analytics and visualization teams.
• Experience working in a large-scale, high-scale data warehouse environment with ETL tools and processes