Captech Ventures - Chicago, IL

posted about 2 months ago

Full-time - Mid Level
Chicago, IL
Professional, Scientific, and Technical Services

About the position

CapTech Data Architects play a crucial role in aligning our clients' business objectives with the latest technologies to develop effective strategies for data delivery implementation. Our mission is to enhance the business value of our clients by optimizing data usage, improving information stewardship, and streamlining data flows. By gaining a deep understanding of our clients' unique challenges, our Data Architects leverage their expertise and state-of-the-art tools to identify the most effective solutions. We view our Data Architects as thought leaders in the data domain, responsible for nurturing CapTech talent and expanding our data and analytics delivery capabilities. In this position, you will be responsible for assessing and advocating for data management technologies and practices, effectively bridging the gap between the current state and a well-defined future state. You will interpret and deliver strategic plans that enhance data integration, quality, and delivery, supporting various business initiatives and roadmaps. Your role will involve formulating and articulating architectural trade-offs across different solution options, ensuring that all technical requirements are met before recommending the optimal solution. As a Data Architect, you will also be tasked with motivating and developing staff by teaching and empowering them, while influencing both technical and consulting soft skills. Collaboration with client stakeholders and development teams will be essential to ensure that our data architecture recommendations maximize the value of client data across their organizations. You will drive innovative technology solutions by providing thought leadership on emerging trends and sharing project solutions and outcomes with colleagues to enhance future project delivery. Additionally, you will partner with the CapTech business development team to showcase our technical capabilities, envision proposed solutions, and estimate work plans.

Responsibilities

  • Assess and advocate for data management technologies and practices to eliminate gaps between current and future states.
  • Interpret and deliver strategic plans to improve data integration, quality, and delivery in support of business initiatives.
  • Formulate and articulate architectural trade-offs across solution options before recommending optimal solutions.
  • Motivate and develop staff through teaching, empowering, and influencing technical and consulting soft skills.
  • Collaborate with client stakeholders and development staff to maximize the value of client data through architecture recommendations.
  • Drive innovative technology solutions through thought leadership on emerging trends.
  • Share project solutions and outcomes with colleagues to improve future project delivery.
  • Partner with the business development team to demonstrate technical capabilities and estimate proposed work plans.

Requirements

  • 5+ years of experience with on-premises and cloud data management, integration, visualization, and analytical technologies.
  • Advanced proficiency in end-to-end data architecture solutions including ingestion, storage, and relational modeling using SQL and Python.
  • Demonstrated proficiency in designing and implementing modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Kinesis, DataFlow, Airflow), NoSQL (MongoDB, DynamoDB, HBase, CosmosDB), and modern data warehouse tools (Snowflake, DataBricks).
  • Ability to think strategically and relate architectural decisions to business needs and client culture.
  • Ability to assess traditional and modern data architectural components based on business needs.
  • Familiarity with recommending data governance best practices including MDM, security, privacy, and policies.

Nice-to-haves

  • Experience with data governance frameworks and best practices.
  • Knowledge of machine learning and AI technologies as they relate to data architecture.
  • Familiarity with Agile methodologies and project management tools.

Benefits

  • Generous PTO
  • Health coverage
  • Disability insurance
  • Paid family leave
  • CapFlex - hybrid workforce support
  • Learning & Development programs
  • Modern Health mental health platform
  • Carrot Fertility coverage
  • Fringe stipend program for lifestyle benefits
  • Employee Resource Groups for diversity and inclusion
  • Philanthropic Partnerships for community engagement
  • 401(k) Matching with no vesting period
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