$68/hr
Other
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Job description
Rate: $68/hr C2C Location: Chicago, IL (Local candidates only – No relocation) Hybrid Onsite – 3 Days/Week | Long-Term Contracts | C2C
Roles Mode: Hybrid (Onsite 3x per week) Duration: Long-Term Contract
Job Description:
We are looking for a Solution Architect – Data Platforms with strong experience in financial risk data systems. The ideal candidate will design and implement scalable, secure, and high-performing data platforms to support risk analytics, reporting, and compliance in a financial services environment.
Key Responsibilities:
- Design and implement data platform architectures (data lake, data warehouse, data mesh, or lakehouse).
- Work closely with risk management, finance, and analytics teams to deliver end-to-end data solutions.
- Define data ingestion, transformation, and integration strategies using cloud-native and open-source technologies.
- Ensure compliance with data governance, lineage, and security standards.
- Collaborate with developers and DevOps teams to implement CI/CD, monitoring, and automation for data workflows.
- Provide architectural guidance on scalability, performance, and reliability of data systems.
Required Skills:
- Strong experience in Data Architecture / Data Engineering.
- Hands-on with cloud platforms – AWS (S3, Glue, Redshift), Azure (Synapse, ADF, Databricks), or GCP (BigQuery, Dataflow).
- Expertise with big data frameworks – Spark, Kafka, Airflow, or Databricks.
- Strong SQL and Python or Scala programming skills.
- Experience with data modeling, metadata management, and data governance.
- Exposure to financial risk data domains (credit, market, or liquidity risk).
- Understanding of regulatory frameworks (Basel III, CCAR, IFRS9) is a plus.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Data Architect?
A: To succeed as a Senior Data Architect, key technical skills include expertise in data modeling, data warehousing, and big data technologies such as Hadoop and NoSQL databases, as well as proficiency in programming languages like Python and SQL. Additionally, strong soft skills like effective communication, strategic thinking, and leadership abilities are crucial for collaborating with cross-functional teams, driving business outcomes, and mentoring junior team members. By combining these technical and soft skills, a Senior Data Architect can drive data-driven decision-making, optimize business processes, and contribute to the organization's overall success.
Q: What is the career path for a Senior Data Architect?
A: A Senior Data Architect's typical career progression involves starting as a Data Analyst or Junior Data Architect, progressing to a Data Architect or Lead Data Architect role, and eventually becoming a Senior Data Architect, overseeing large-scale data architecture initiatives and leading cross-functional teams. Key opportunities for skill development include mastering data modeling, data warehousing, cloud computing, and data governance, as well as staying up-to-date with emerging technologies like artificial intelligence and machine learning. Long-term career prospects for Senior Data Architects may include transitioning into executive roles, such as Chief Data Officer or Chief Information Officer, or pursuing specialized roles like Data Science Leadership or Enterprise Architecture.