Greetings!
Please find the role details below and confirm your interest.
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data operations platform that focuses on optimizing modern data lakes for both on-premise and cloud environments.
Product Responsibilities:
As an Engineering Manager, you will be responsible for the end-to-end delivery of one or more products and solutions.
10+ years of relevant industry experience.
Be technically strong and deliver product excellence.
Collaborate with your team and cross-functional partners to define and influence strategy.
Drive roadmap creation and execution.
Collaborate with various functions, drive engineering initiatives, and have an impact at an organizational level.
Participate in technical design. You will be the owner of the technical direction of the products.
Define clear OKRs and measure the impact of your team and individual members.
Evangelize your products across various teams and also to external customers.
Work with the GTM team to deliver success for the products.
Collaborate with the Recruitment/HR team to hire exceptional talent for your own team and also for other teams.
Minimum Qualifications:
Bachelor degree preferably in Computer Science from a reputed engineering college.
10+ years of proven experience, with 2+ years of leading a team.
Very strong in hands-on coding.
8+ years of combined experience in JVM languages(Java, Scala, Kotlin, etc), any scripting language like python, relational and non-relational databases.
Very strong in system design. You should have designed and implemented large-scale Web applications or data systems.
Strong verbal and written communication skills.
Demonstrated experience recruiting and managing technical teams, including performance management.
Good to have:
Don't worry, we'll ramp you up, but experience in any of these areas will help you hit the ground running:
Familiarity with technologies such as Apache Spark, Apache Hadoop ecosystem, and modern warehouses like Snowflake, AWS Redshift, etc.
Experience working with public cloud systems such as AWS, GCP, or Azure.
Experience with containerization and technologies such as Kubernetes and Docker.
Knowledge of large-scale, data-heavy distributed systems.
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