Senior Software Engineer

NORTHWESTERN MUTUAL LIFE INSURANCE • Milwaukee, WI • 2h ago

JOB REQUIREMENTS: About the team Field domain data team build and manage
data pipelines, create pipelines to collect data from multiple sources
(databases, APIs, files), transform, and move data into storage systems
(Data Mesh/data lakes / warehouses), Automate ETL (Extract, Transform,
Load) workflows. Design scalable data architecture, systems that can
handle large-scale data reliably and efficiently. Ensure data quality,
governance & security, validate and clean incoming data, apply
governance policies (who can access what), maintain compliance and
security controls.We work with other teams across organization,
collaborate with Product/ business teams (to understand data needs),
Data scientists (to support ML/AI use cases), DevOps / platform teams.
What You\'ll do- Lead the design and delivery of end-to-end data
platforms and pipelines (batch and streaming) using AWS services to
support analytics, reporting, ML, and operational use cases.- Define and
own data architecture decisions, standards, and best practices. Produce
and maintain Architecture Decision Records (ADRs), runbooks, and
high-quality diagrams.- Architect and implement data lake and/or data
warehouse solutions (ingestion, storage, transformation, serving) using
S3, Glue, Redshift, Athena, and related services.- Build and optimize
ETL/ELT workflows with Spark, Glue, Lambda, Step Functions, and
orchestration frameworks (Airflow, Dagster).- Design and operate
streaming ingestion and processing using Kinesis, MSK, and Kafka
ecosystems; collaborate on re-architecture efforts to reduce cost and
improve resilience.- Drive data modeling, schema design, partitioning,
and query optimization for large data sets to meet performance and cost
targets.- Establish and operationalize data quality, validation,
observability, lineage, and metadata practices (Glue Data Catalog, Data
Hub/Amundsen or equivalent).- Implement robust security, governance, and
compliance controls (IAM, Lake Formation, KMS, VPC, data
masking/security scanning) and collaborate with security and privacy
teams.- Champion cost optimization across the data stack (serverless
architectures, right-sizing, Graviton/spot/commitment strategies) and
provide continuous cost governance.- Own production reliability:
monitoring, SLIs/SLOs, incident response, postmortems, and continuous
improvements.- Lead and mentor engineers, run design reviews, and
promote cross-team collaboration with product, analytics, ML, and
platform teams.- Influence roadmap, capacity planning, and hiring for
the data engineering function; represent the team in senior technical
forums.What You\'ll bring to the role- 7+ years of hands-on experience
in data engineering, architecting and operating data platforms at
scale.- Demonstrated leadership on large, complex data projects and
strong ability to influence technical and product stakeholders.-
Extensive hands-on experience with AWS data services: S3,... For full
info follow application link. EEO/AA Employer/Vets/Disability ***
APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/CAD2040B6954468A
Qualified females, minorities, and special disabled veterans and other
veterans are encouraged to apply.

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