Address
Form of workOnsite Role
Software Engineer Tech Lead
As a Software Engineer Tech Lead, you will be responsible for leading a team
of software engineers in an initiative to migrate an on-premises large-scale
data warehouse and associated data pipelines to Azure. You will have core
competencies in the Big Data analytics platforms including Spark/Databricks
as well as Data Warehouse/Data Lakehouse architectures. You will also have
very strong project managemet skills, specifically using Agile Methodologies
such as Scrum/Kanban/Lean.
Key Responsibilities:
• Lead a team of software engineers in the migration of a large-scale data
warehouse and associated data pipelines.
• Ability to have trade-off discussions, with engineering team, around data
pipeline design with the goal of driving consensus on approach.
• Attend cross-functional meetings with project Technical Product Manager
(TPM).
• Work with the TPM to translate requirements into backlog items
• Lead the engineering team in backlog grooming and refinement meetings.
• Work with team to prioritize product and engineering backlog items in
planning meetings
• Lead daily stand-up meetings and drive action items and ownership around
blocking items.
• Communicate schedule/project timeline status to engineering manager and
TPM, highlighting key trade-off discussions.
• Mentor junior engineers and help them to grow their skills in story creation,
decomposition, and estimation.
Qualifications:
• 7+ years of experience in software engineering and Data Engineering
• Experience with Azure Cloud Analytics Platforms including PaaS and IaaS
services: Azure Data Lake Storage, Azure Data Factory, Kafka, Azure
Synapse
• Experience with Analytics Platforms and related technologies:
Spark/Databricks, Apache Streaming, Delta Tables, and Airflow
• Experience leading a team of software engineers in large-scale data
warehouse and data pipelines migration.
• Experience designing and implementing data pipelines and workflow
management
• Experience with data warehouse/lake house architectures and data
modeling
• Strong problem-solving skills
• Strong communication and leadership skills
• Strong ability to drive engineering trade-off discussions with the goal of
driving consensus
• Experience in Agile methodologies such as Scrum, specifically in the role of
Scrum Master
• Bachelor's degree in Computer Science or related field.
Software Engineer Tech Lead
As a Software Engineer Tech Lead, you will be responsible for leading a team
of software engineers in an initiative to migrate an on-premises large-scale
data warehouse and associated data pipelines to Azure. You will have core
competencies in the Big Data analytics platforms including Spark/Databricks
as well as Data Warehouse/Data Lakehouse architectures. You will also have
very strong project managemet skills, specifically using Agile Methodologies
such as Scrum/Kanban/Lean.
Key Responsibilities:
• Lead a team of software engineers in the migration of a large-scale data
warehouse and associated data pipelines.
• Ability to have trade-off discussions, with engineering team, around data
pipeline design with the goal of driving consensus on approach.
• Attend cross-functional meetings with project Technical Product Manager
(TPM).
• Work with the TPM to translate requirements into backlog items
• Lead the engineering team in backlog grooming and refinement meetings.
• Work with team to prioritize product and engineering backlog items in
planning meetings
• Lead daily stand-up meetings and drive action items and ownership around
blocking items.
• Communicate schedule/project timeline status to engineering manager and
TPM, highlighting key trade-off discussions.
• Mentor junior engineers and help them to grow their skills in story creation,
decomposition, and estimation.
Qualifications:
• 7+ years of experience in software engineering and Data Engineering
• Experience with Azure Cloud Analytics Platforms including PaaS and IaaS
services: Azure Data Lake Storage, Azure Data Factory, Kafka, Azure
Synapse
• Experience with Analytics Platforms and related technologies:
Spark/Databricks, Apache Streaming, Delta Tables, and Airflow
• Experience leading a team of software engineers in large-scale data
warehouse and data pipelines migration.
• Experience designing and implementing data pipelines and workflow
management
• Experience with data warehouse/lake house architectures and data
modeling
• Strong problem-solving skills
• Strong communication and leadership skills
• Strong ability to drive engineering trade-off discussions with the goal of
driving consensus
• Experience in Agile methodologies such as Scrum, specifically in the role of
Scrum Master
• Bachelor's degree in Computer Science or related field.
