MedStar Health
At the Federal Home Loan Bank of Chicago, employees come first -
that's
why we offer a highly competitive compensation and bonus package, and access to a comprehensive benefits program designed to meet the needs of our employees. C ollaborative, in-office operating model
Retirement program (401k and Pension)
Medical, dental and vision insurance
Lifestyle Spending Account
Competitive PTO plan
11 paid holidays per year Who we are: Our mission at FHLBank Chicago: To partner with our members in Illinois and Wisconsin to provide them competitively priced funding, a reasonable return on their investment, and support for their community investment activities. Simply said, we're a bank for banks and other financial institutions, focused on being a strategic partner for our members and working together to reinvest in our communities, from urban centers to rural areas. Created by Congress in 1932, FHLBank Chicago is one of 11 Federal Home Loan Banks, government sponsored in support of mortgage lending and community investment. What it's like to work here: At FHLBank Chicago, we bring people together. We are committed to a high performing, engaged workforce, and to supporting the communities we serve across Illinois and Wisconsin. Our Buddy Program pairs new hires with tenured employees to guide their onboarding. Our professional development and training opportunities through upskilling, mentorship programs, and tuition reimbursement allow employees to grow their career with us. Our collaborative, in-office operating model brings teams together to foster innovation, connection, and shared success. To support balance and flexibility, employees are provided with an allocation of remote days to use as needed throughout the year. What you'll do: The Data Architect plays a
pivotal role
in shaping the enterprise data landscape at the Federal Home Loan Bank of Chicago.
This position will
be r
esponsible
for
leading the design, development, and governance of
scalable
, secure, and high-quality
enterprise data architecture
that will support decision making and strategic
initiatives
for
all business units across the
enterprise. This role will be instrumental in shaping how data is structured, accessed, and
leveraged
across the organization to drive business insights and operational efficiency.
The Senior Data Architect will focus on
D
ata
L
akehouse designs, advanced analytics, and forward-looking AI/ML technologies. Additionally, this role will be a key member of the
S
olution
A
rchitecture team,
providing
an overall view of data architecture across solutions for the enterprise.
The ideal candidate will have a strong background in data architecture, data
engineering
and analytics, with a proven
track record
o
f
successfully leading data implementations. How you'll make an impact : Drive Strategic Data Utilization : By designing and governing enterprise-wide data architecture, the Data Architect will enable the organization to structure and access data in ways that unlock business insights and improve operational efficiency.
Ensure Scalable and Compliant Data Infrastructure : Through the integration of modern data technologies and adherence to privacy and security standards (e.g., GDPR, CCPA, SOC 2), this role ensures the data ecosystem is both scalable and compliant.
Empower Cross-Functional Collaboration and Innovation : By partnering with teams across engineering, analytics, compliance, and business units, the Data Architect will align data systems with strategic goals, supporting initiatives in BI, AI/ML, and centralized data platforms.
What you can expect: Design and maintain enterprise-wide data architecture aligned with business goals
, operational efficiency
, cyber security, and data safety standards in alignment
with the
B
ank's
regulatory requirements
;
including data models, data lakes, data warehouses, and real-time data pipelines.
Participate
s
in strategic planning for the organization, driving high level technical direction and vision.
Lead the data transformation from traditional data architectures to a modern data lakehouse architecture.
Provide lea
dership to the technical team and colleagues; help lead effort to build target team structure.
Provide architectural oversight and validation of conceptual, logical, and physical data models developed by the data modeling team, ensuring alignment with enterprise data architecture standards and strategic objectives.
Lead the integration of data from multiple internal and external sources, ensuring consistency, accuracy, and quality across systems through close collaboration with cross-functional IT teams
.
Collaborate with cross-functional teams including data engineering,
network and system operations, identity and access, analytics, compliance, and business stakeholders to align data architecture with business goals
.
Ensure data integration strategies support enterprise standards for high availability, scalability, security, and resilience
Continuously explore, evaluate, and recommend modern data technologies (e.g., cloud data platforms, Databricks, etc.) to enhance the enterprise data ecosystem
.
Collaborate with Data Governance and business units to understand their data needs and provide solutions.
Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Ensure compliance with data privacy and security standards (e.g.,
PII, SOX,
SOC 2)
Support the development
and conti
n
uous enhancement
of
our
centralized data platform and contribute to the evolution of our data lake
house
and governance frameworks
.
Provide technical leadership and guidance on data architecture best practices and standards.
Serve as the primary poi
nt
of contact for data architecture across the enterprise.
Work closely with data scientists and analysts to ensure data availability and quality for advanced analytics use cases.
Foster a culture of data-driven decision-making across the organization.
Provide architectural guidance
and standardization
for data warehousing, BI, and AI/ML initiatives.
Stay current with emerging technologies and trends in data architecture, analytics, and AI/ML.
What you'll bring: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
10
+ years of experience in data architecture, data engineering, or database design.
Proven experience in leading data transformation initiatives.
Deep expertise in
Spark, Python,
SQL, data modeling, and ETL/ELT pipeline
strategy and optimization
.
Extensive experience with
D
ata
L
akehouse designs and advanced analytics.
Hands-on experience with AI/ML technologies and their application in data architecture
s
Banking industry knowledge an added plus
.
Ability to work effectively in a fast-paced, dynamic environment where priorities can change quickly
.
Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery.
Strong understanding of financial data domains such as payments, lending, or capital markets.
Strong understanding of data governance, security, and compliance frameworks.
Familiarity with regulatory reporting and compliance in financial services.
Experience with data cataloging tools and data governance frameworks.
Knowledge of Python, Spark, or other data processing languages.
Experience working in an Agile Scrum environment.
Proven ability to partner with and challenge strategic implementation partner(s).
Excellent communication and stakeholder management skills.
Certifications in data architecture or related fields
, including; Certified Data Management Professional (CDMP
)
, AWS Certified Data Analytics, Google Cloud Professional Data Engineer, Databricks Certified Engineer.
Experience with the Databricks platform is
required
.
The perks: At FHLBank Chicago, we believe in rewarding our high performing workforce. We offer a highly competitive compensation and bonus package, and access to a comprehensive benefits program designed to meet the needs of our employees. Our retirement program includes a 401(k) and pension plan. Our wellbeing program supports employees at work and in their personal lives: Our PTO plan provides five weeks of vacation for new employees and 11 paid holidays per year; our Lifestyle Spending Account provides an annual stipend for employees to support wellbeing activities; and our central downtown location at the Old Post Office provides easy access to public transportation and breathtaking views from our award-winning rooftop. Step into a brighter future with us. Salary Range: $125,825.00 - $221,275.00
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors. In addition to the base salary, we offer a comprehensive benefits package which can be found here:
https://hrportal.ehr.com/fhlbc
#J-18808-Ljbffr
that's
why we offer a highly competitive compensation and bonus package, and access to a comprehensive benefits program designed to meet the needs of our employees. C ollaborative, in-office operating model
Retirement program (401k and Pension)
Medical, dental and vision insurance
Lifestyle Spending Account
Competitive PTO plan
11 paid holidays per year Who we are: Our mission at FHLBank Chicago: To partner with our members in Illinois and Wisconsin to provide them competitively priced funding, a reasonable return on their investment, and support for their community investment activities. Simply said, we're a bank for banks and other financial institutions, focused on being a strategic partner for our members and working together to reinvest in our communities, from urban centers to rural areas. Created by Congress in 1932, FHLBank Chicago is one of 11 Federal Home Loan Banks, government sponsored in support of mortgage lending and community investment. What it's like to work here: At FHLBank Chicago, we bring people together. We are committed to a high performing, engaged workforce, and to supporting the communities we serve across Illinois and Wisconsin. Our Buddy Program pairs new hires with tenured employees to guide their onboarding. Our professional development and training opportunities through upskilling, mentorship programs, and tuition reimbursement allow employees to grow their career with us. Our collaborative, in-office operating model brings teams together to foster innovation, connection, and shared success. To support balance and flexibility, employees are provided with an allocation of remote days to use as needed throughout the year. What you'll do: The Data Architect plays a
pivotal role
in shaping the enterprise data landscape at the Federal Home Loan Bank of Chicago.
This position will
be r
esponsible
for
leading the design, development, and governance of
scalable
, secure, and high-quality
enterprise data architecture
that will support decision making and strategic
initiatives
for
all business units across the
enterprise. This role will be instrumental in shaping how data is structured, accessed, and
leveraged
across the organization to drive business insights and operational efficiency.
The Senior Data Architect will focus on
D
ata
L
akehouse designs, advanced analytics, and forward-looking AI/ML technologies. Additionally, this role will be a key member of the
S
olution
A
rchitecture team,
providing
an overall view of data architecture across solutions for the enterprise.
The ideal candidate will have a strong background in data architecture, data
engineering
and analytics, with a proven
track record
o
f
successfully leading data implementations. How you'll make an impact : Drive Strategic Data Utilization : By designing and governing enterprise-wide data architecture, the Data Architect will enable the organization to structure and access data in ways that unlock business insights and improve operational efficiency.
Ensure Scalable and Compliant Data Infrastructure : Through the integration of modern data technologies and adherence to privacy and security standards (e.g., GDPR, CCPA, SOC 2), this role ensures the data ecosystem is both scalable and compliant.
Empower Cross-Functional Collaboration and Innovation : By partnering with teams across engineering, analytics, compliance, and business units, the Data Architect will align data systems with strategic goals, supporting initiatives in BI, AI/ML, and centralized data platforms.
What you can expect: Design and maintain enterprise-wide data architecture aligned with business goals
, operational efficiency
, cyber security, and data safety standards in alignment
with the
B
ank's
regulatory requirements
;
including data models, data lakes, data warehouses, and real-time data pipelines.
Participate
s
in strategic planning for the organization, driving high level technical direction and vision.
Lead the data transformation from traditional data architectures to a modern data lakehouse architecture.
Provide lea
dership to the technical team and colleagues; help lead effort to build target team structure.
Provide architectural oversight and validation of conceptual, logical, and physical data models developed by the data modeling team, ensuring alignment with enterprise data architecture standards and strategic objectives.
Lead the integration of data from multiple internal and external sources, ensuring consistency, accuracy, and quality across systems through close collaboration with cross-functional IT teams
.
Collaborate with cross-functional teams including data engineering,
network and system operations, identity and access, analytics, compliance, and business stakeholders to align data architecture with business goals
.
Ensure data integration strategies support enterprise standards for high availability, scalability, security, and resilience
Continuously explore, evaluate, and recommend modern data technologies (e.g., cloud data platforms, Databricks, etc.) to enhance the enterprise data ecosystem
.
Collaborate with Data Governance and business units to understand their data needs and provide solutions.
Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Ensure compliance with data privacy and security standards (e.g.,
PII, SOX,
SOC 2)
Support the development
and conti
n
uous enhancement
of
our
centralized data platform and contribute to the evolution of our data lake
house
and governance frameworks
.
Provide technical leadership and guidance on data architecture best practices and standards.
Serve as the primary poi
nt
of contact for data architecture across the enterprise.
Work closely with data scientists and analysts to ensure data availability and quality for advanced analytics use cases.
Foster a culture of data-driven decision-making across the organization.
Provide architectural guidance
and standardization
for data warehousing, BI, and AI/ML initiatives.
Stay current with emerging technologies and trends in data architecture, analytics, and AI/ML.
What you'll bring: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
10
+ years of experience in data architecture, data engineering, or database design.
Proven experience in leading data transformation initiatives.
Deep expertise in
Spark, Python,
SQL, data modeling, and ETL/ELT pipeline
strategy and optimization
.
Extensive experience with
D
ata
L
akehouse designs and advanced analytics.
Hands-on experience with AI/ML technologies and their application in data architecture
s
Banking industry knowledge an added plus
.
Ability to work effectively in a fast-paced, dynamic environment where priorities can change quickly
.
Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery.
Strong understanding of financial data domains such as payments, lending, or capital markets.
Strong understanding of data governance, security, and compliance frameworks.
Familiarity with regulatory reporting and compliance in financial services.
Experience with data cataloging tools and data governance frameworks.
Knowledge of Python, Spark, or other data processing languages.
Experience working in an Agile Scrum environment.
Proven ability to partner with and challenge strategic implementation partner(s).
Excellent communication and stakeholder management skills.
Certifications in data architecture or related fields
, including; Certified Data Management Professional (CDMP
)
, AWS Certified Data Analytics, Google Cloud Professional Data Engineer, Databricks Certified Engineer.
Experience with the Databricks platform is
required
.
The perks: At FHLBank Chicago, we believe in rewarding our high performing workforce. We offer a highly competitive compensation and bonus package, and access to a comprehensive benefits program designed to meet the needs of our employees. Our retirement program includes a 401(k) and pension plan. Our wellbeing program supports employees at work and in their personal lives: Our PTO plan provides five weeks of vacation for new employees and 11 paid holidays per year; our Lifestyle Spending Account provides an annual stipend for employees to support wellbeing activities; and our central downtown location at the Old Post Office provides easy access to public transportation and breathtaking views from our award-winning rooftop. Step into a brighter future with us. Salary Range: $125,825.00 - $221,275.00
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors. In addition to the base salary, we offer a comprehensive benefits package which can be found here:
https://hrportal.ehr.com/fhlbc
#J-18808-Ljbffr