Alera Group

Overview

Alera Group is looking for a highly motivated and skilled Cloud Data Engineer to join our team. 

Are you looking to be part of a company where you have exciting opportunities to learn, grow and make a positive impact? Join a team where each employee is empowered to listen generously, speak straight, collaborate, and build each other up through mutual accountability and shared success. 

If that is what you’re looking for, this is your chance to be part of an amazing organization!

Alera Group is an independent, national insurance and financial services firm created in 2016 through a merger of 24 like-minded, high-performing, entrepreneurial firms. Our founding firms worked together to leverage powerful relationships, industry expertise and resources with the goal of elevating the client experience.

The Cloud Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key responsibilities

• Develops and leads architecture, infrastructure, and data privacy with an emphasis on engagement and excellence.
• Lead development and execution of the technical data roadmap.
• Ensure technology practices and processes adhere to regulatory standards and best practices for data protection privacy, information security and financial reporting.
• Ensure strong up-time performance and reliability of the Company’s data systems and software, including disaster recovery.
• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure Data Factory.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the executive, product, data and design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national and regional boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications

• Bachelor’s Degree in Computer Science or related field preferred
• 10+ years experience in data engineering roles, at least 5 years in a senior leadership position
• Demonstrated success in organizing teams that deeply understand the business needs of their customers
• Demonstrated skill in creating a strategic impact on the overall business through internal technology and leadership of strong engineering teams
• Demonstrated strategic business impact includes cost reductions, enablement of new business insights, new lines of business through technology improvements and/or significant scaling of the business
• Experience strategically balancing tech debt and new development, and track record of successfully retiring legacy technologies
• Knowledge of modern data engineering practices, e.g. related to data orchestration, data warehouses, data observability and monitoring
• Ability to balance short- and longer-term customer, product, and data-driven priorities across the organization
• Ability to understand and communicate with technical and non-technical stakeholders
• Effective communication, negotiation, and interpersonal skills
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Strong project management and organizational skills.
• Experience using the following software/tools:
• Relational SQL and NoSQL databases, including Postgres and Cassandra
• Data pipeline and workflow management tools
• Azure cloud services: Azure Data Factory, Azure Databricks, Azure Synapse Pipelines, Azure Synapse, Azure Data Lake
• Big Data Analytics, Preferably in Azure Synapse Analytics, Azure Analysis Services, Data Governance, Data Catalog, Master Data Management
• Stream-processing systems: Storm, Spark-Streaming, etc
• Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
• API Integrations

Benefits

We offer comprehensive benefits to employees, including medical, dental, STD, LTD and life insurance, 401k, paid time off and much more.

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

If you're a California resident, please read the California Consumer Privacy Act prior to applying.

#LI-NO1

#LI-Hybrid