General Data Management
Develop strategies and architectures to support the mission and growth of the Data and 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. Snowflake analytics environment to support various business use-cases).
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 and Analytics teams develop solutions that enable businesses to capitalize on business insights and drive toward gaining a competitive advantage.
Mentor Data and Analytics team members while helping them to create solid data solutions.
Create high-level architectures of new data environments (e.g. architecture diagrams, city maps, conceptual data models, warehouse architectures and designs, business engagement models, ELT and consumption strategies and patterns, etc.).
Provide technical leadership, mentoring and awareness to IT and business team members.
Recognize when Solution 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 and 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 for diplomatic solutions, 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 and 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 and analytics goals and outcomes.
Review and support the development of source-to-target mappings and transformation logic required to satisfy the business need.
When needed, help the team to implement and verify end-to-end data solutions.
When needed, develop test plans to ensure a quality deliverable. Participate in validation testing, and 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 and Analytics standards, delivery processes, and methodologies.
What makes this opportunity great:
Information technology is a core part of Client's business strategy and plays a critical role in the growth and transformation of the firm.
Exposure to many different technologies in both physical and cloud environments.
Collaborative culture that values diverse backgrounds and perspectives while emphasizing teamwork and a strong sense of partnership.
Leadership focused on the safety and engagement of the Client IT team, staying connected through a monthly podcast with the CIO and other leaders
What we look for:
Minimum of 10 - 15 years of experience in Data and Analytics Solution delivery in a complex environment working collaboratively in a team setting.
Proficient in Data Solution tools and concepts such as:
Business Intelligence/Analytics tools: Alteryx, Python Microsoft tools (SQL Server Management Studio, SSRS, SSAS, SSIS, Power Pivot, Power Query, Power BI)
Database: SQL Server, Azure SQL Database, ADLS, Snowflake
Data Query tools: SQL, T-SQL, Azure Data Studio
Diagramming tools: ER/Studio Data Architect, Miro, Visio, PowerPoint
Data Integration tools: SSIS, Azure Data Factory, DBT, FiveTran
Data Warehousing concepts: Inmon, Kimball, Data Lake, Data Lakehouse, Modern Data Architecture
Data Integration concepts and strategies: EII, ETL, ELT, SOA, and EAI
Data Management and Quality: data mapping, data profiling, data catalog, relational data modeling, master data management, data governance, metadata management (ex. Data.World)
Data Formats: csv, pipe-delimited, JSON, XML, Parquet
Data Latency: nightly batch, intra-day batch, API calls, near real-time, messaging, streaming
Applicable Certifications
Certified Data Management Professionals (CDMP)
Azure Fundamentals Certification
SnowPro Core Certification
Education: Bachelors Degree