Enterprise Data Integration Architect
2 days ago
Join Northwestern Mutual, a forward-thinking organization that invests in its people and makes a positive impact. As a lead engineer on data strategy, you'll play a vital role in designing system solutions, implementing new features, resolving complex incidents, and responding to infrastructure monitoring and alerts.
You will collaborate with application support and development staff, learn and work with application technologies as architectural and engineering design needs arise, and take charge of build decisions, infrastructure design for larger, more complex systems to achieve strategic objectives in service management, risk management, and project delivery.
In this role, you will have the opportunity to drive innovation, determine architectural and design best practices, find automation opportunities, and guide the proper use of new features. Your strong focus on teamwork and collaboration skills will enable you to work effectively in agile teams, define and plan work on a team backlog, and determine ways for the team to be successful in meeting its outcomes.
The ideal candidate will possess 6+ years of experience in data movement technologies like Informatica, Qlik, AWS DMS, Glue systems administration or application engineering, as well as 3+ years of experience leading complex solutions and teams.
This position requires a Bachelor's degree in computer science, information systems, or a related field, or an equivalent combination of education and work experience. Additionally, preferred qualifications include AWS or Docker or Kubernetes certification, 6+ years of experience with networking and Linux-based platforms, 6+ years of experience with modern programming and scripting languages (Python, Go, JavaScript), and 6+ years of experience performance tuning and operations of application stacks, OSs, DBs, etc.
To succeed in this role, you must be able to develop data ingestion pipelines to efficiently load data from various sources into the data lake, establish data quality checks, validations, and monitoring processes to ensure data accuracy and consistency, implement and maintain data lineage, auditing, and reporting mechanisms, and resolve complex problems logically and methodically.
We offer competitive compensation, including a salary range of $121,030.00 to $224,770.00, depending on the skills, education, training, credentials, and experience of the candidate. Please note that we pay on a geographic-specific salary structure and placement in the salary range will be determined by a number of factors, including the cost of labor in the market.
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