Manager Data Integrations
Manager Data Integrations
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Job Description
About the role:
Samsaras Business Systems team is growing and we are seeking a Bengalurubased Senior Manager Data Engineering to drive our expansion into India and build innovative data architectures and solutions to enable Samsaras business. Data is central to everything we do at Samsara. We are in the business of providing data & insights to our customers to help them drive efficiency safety and sustainability within their physical operations. This is a cross functional role which will engage with functions like Sales Supply Chain Marketing and Customer Success working closely with these functions to build data solutions to fuel our growth and scale at Samsara. You will be part of the Data Engineering & Architecture team which is a critical component of our Business Technology organization.
This is a hybrid position requiring 3 days per week in our Bangalore office and 2 days working remotely.This role requires ones availability during the East Coast hours including being on call. Relocation assistance will not be provided for this role.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in realworld impacthelping to keep the lights on get food into grocery stores reduce emissions and most importantly ensure workers return home safely.
- You are the architect of your own career: If you put in the work this role wont be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development countless opportunities to experiment and master your craft in a hyper growth environment.
- Youre energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative ambitious ideas for our customers.
- You want to be with the best: At Samsara we win together celebrate together and support each other. You will be surrounded by a highcaliber team that will encourage you to do your best.
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/reengineering 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 highperforming 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 datadriven culture
- Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in nextgen products
- Ensure testdriven 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
- Handson experience analyzing architecting/rearchitecting 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 handson 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
- Handson 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 selfservice data preparation tools to maintain the flow of data for the analytics and visualization teams.
- Experience working in a largescale highscale data warehouse environment with ETL tools and processes
Required Experience:
Manager
Employment Type
Full Time
