Data Architect - Milwaukee, United States - Robert W. Baird & Co. Incorporated

Robert W. Baird & Co. Incorporated Milwaukee, United States

3 weeks ago

Description

Do you enjoy making sense of business data? Are you naturally curious and passionate? Are you driven by enabling mission-critical business processes and data-driven decisions? Are you pragmatic and inspired by meeting people where they are? Want to contribute to a growing financial services company who values IT as a partner to the business? Keep reading...

As we continue to grow and add top talent to the Baird family of technical associates, we are looking for a Data Architect for our downtown Milwaukee headquarters.

This is a key role on our IT Data & Analytics Team requiring a broad range of skills and the ability to step in to different roles depending on the size and scope of the business need.

The self-motivated candidate will have proven experience implementing successful data solutions on key projects in a collaborative environment. Success will come from being able to prioritize, deliver value incrementally, problem solve, and manage changing priorities. You will work closely with our business partners and interface with both technical and non-technical colleagues.
This is a hybrid opportunity in the Milwaukee area with 2-3 days onsite per week at our

Headquarters.

As a Data Architect, you will:
General Data Management
Develop strategies and architectures to support the mission and growth of the Data & Analytics organization.
Lead architectural design and strategy discussions.
Learn, research, and POC new technologies. Understand when/where various technologies would best apply to our business use cases.
Where appropriate, introduce and drive new and emerging technologies to support business outcomes (e.g. Azure analytics environment to support various business unit data solutions)
Articulate pros/cons of architectural design options and provide clear recommendations on preferred path/solution (e.g. cloud v. on-prem, buy v. build, relational v. dimensional, etc)
Demonstrate competence, experience, knowledge, understanding, and advocacy of data management concepts, data warehousing, data integration, BI, and analytics.

Demonstrate ability to perform strategic thinking by viewing initiatives both within the immediate project context as well as the overall vision.

Lead, Coach, Collaborate
Help Data & Analytics teams develop solutions that enable businesses to capitalize on business insights and drive toward gaining a competitive advantage
Mentor Data & Analytics team members while helping them to create solid data solutions.
Create high-level architectures of new data environments (e.g. city maps, conceptual data models, warehouse architectures and designs, business engagement models, consumption strategies and patterns, etc.)
Provide technical leadership, mentoring and awareness to IT and business team members
Recognize when Solution/App Architects need to be consulted, informed, or engaged.
Develop best practices and communicate to teams with a focus on empowering others to implement quality value-add solutions.
Proactively work with other members of the Data & Analytics team to complete high-value deliverables as identified by business partners and team leadership
Strive to understand the data integration needs of the business community, as well as the problems faced by business users involving the access and use of data
Know when to give and take and clearly communicate the "why" of a specific decision or approach.

Seek out and apply new technologies and skills in daily work through conferences, online training, reading, participation in organizations and user groups, etc.

Data & Analytics Delivery
Specialize in data modeling, both 3NF and dimensional, with experience in conceptual, logical, physical, and industry data modeling. Strong knowledge and experience with data architecture methodologies.

Apply the appropriate level of modeling theory, pattern recognition, and abstractions to design a pragmatic solution that functionally meets the business and technical requirements.

Collaborate with Business Unit Data SMEs to understand current and future Data & Analytics goals and outcomes
Review and support the development of source to target mappings and transformation logic required to support business needs.
Implement and verify end-to-end data solutions.
Develop test plans needed to ensure a quality deliverable.

Participate in validation testing, coordinate user acceptance testing and training to ensure the final implementation enables the user to solve their business problem.

Continuously Improve, enhance, and support Data & Analytics standards, delivery processes, and methodologies

What makes this opportunity great:

Information technology is a core part of Baird's business strategy and plays a critical role in the growth and transformation of the firm.

On Computerworld's 'Best Company to Work For' list for five consecutive years with a collaborative culture that values diverse backgrounds and perspectives while emphasizing teamwork and a strong sense of partnership.

Support and flexibility to grow and be your best at work, at home, and in the community.

What we look for:
Seeking candidates with approximately years of experience in Data Solution delivery in a complex environment working collaboratively in a team setting
Proficient in Data Solution tools and concepts such as:

Business Intelligence tools:
Alteryx, Microsoft tools (SQL Server Management Studio, SSRS, SSAS, SSIS, Power Pivot, Power Query, PowerBI)

Database:
SQL Server, Azure SQL Database, Azure Data Lake, Azure Synapse

Data Query tools:
SQL, T-SQL, Azure Data Studio

Data Modeling:
ER/Studio Data Architect, 3NF and dimensional modeling

Data Integration tools:
SSIS, Azure Data Factory, Azure Synapse Pipelines

Data Warehousing concepts:
Inmon, Kimball, Data Lake, Data Lakehouse

Data Integration concepts and strategies:
EII, ETL, EL-T, SOA, and EAI
Reference Data Management

Data Management and Quality:
data mapping, data profiling, data catalog, relational data modeling, master data management, data governance

Data Formats:
csv, pipe-delimited, JSON, XML, Parquet

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