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Senior Engineering Manager - Global Data
Posted on 4/19/2022
San Francisco, CA, USA
Experience Level
Desired Skills
Apache Spark
Data Analysis
Data Science
Google Cloud Platform
Microsoft Azure
  • 8+ years of experience as a Data Engineer or in a similar role (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
  • 8+ years of experience managing a DW or BI team and influencing the data strategy of your team or organization
  • 8+ years of experience with Snowflake/Redshift, AWS/GCP, Hadoop/Spark/Big data, SQL/MySQL, Lambda/KAPPA architectures, Flink/Airflow
  • 8+ year of designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming, and similar cloud native technologies
  • 8+ year of designing, implementing large scale data pipelines for data curation, feature engineering and machine learning, using Spark in combination with pySpark, Java, Scala or Python; either on premise or on Cloud (AWS, or Azure)
  • 8+ year of designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming and similar cloud native technologies
  • Experience with handling sensitive data and encryption methods
  • Develop full SDLC project plans to implement ETL solution and identify resource requirements
  • Develop highly scalable ETL solutions in a demanding environment and manage multiple priorities and timelines
  • Drive the design, builFding, and launching of new data models and data pipelines in production
  • Integrates the established Software Development methodology into the daily practice of the team to ensure applications deliver the benefits and capabilities as defined by business requirements
  • Partnering with other leads (Data Architects, Business Analysis, Quality Assurance, and Infrastructure) for resource assignment, data modeling, technical design, development and solution deployment
  • Build cross-functional relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on those needs
  • Refine and align evolving requirements for data processing, data storage and data access to our existing data platform and tools
  • Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL architecture
  • Provide support to Product Managers with project planning, resource assignment, technical design, development, and solution deployment
  • Identify, recommend, and implement ETL process and architecture improvements
  • Define and drive adoption of data platform ETL standards and best practices
  • Providing project related directions to the team
  • Resolve difficult design and develop issues
  • Responsible for hiring, training and skill development of engineers
Desired Qualifications
  • Expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake and end-user facing applications
  • Expert with data, understands enterprise information systems, has a strong business sense, and can lead a team to put these skills into action

1,001-5,000 employees

Platform for electronic signatures & agreements
Company Overview
DocuSign is on a mission to accelerate business and simplify life for companies and people around the world. The company provides an e-signature technology that helps organizations connect and automate how they prepare, sign, act on, and manage agreements.
  • Health benefits: Medical, dental, and vision
  • Life and disability benefits
  • Savings: Pre-tax parking plans, Health Savings Accounts, Health Care FSA, Dependent Care FSA
  • Wealth Generation: 401(k) or other retirement plans, Employee Stock Purchase Plan, Restricted Stock Units, Sales Commissions, Company Incentive Plan (CIP)