Searching for an experienced Data Architect to help mature the company's Data Architecture and Data Management practices and guide new application platforming decisions. The Data Architect will work on a major new effort to reengineer revenue processes and develop a new client focus across the company. As part of these initiatives, the IT department is playing a key role by retooling to use cutting edge technologies and development processes. The Data Architect will be a key member of this team and will help lead overall logical design of new information models as well as the integration of disparate data sources to help the core development teams merge legacy data into the new system architectures.
We are looking for a hands-on analyst, technologist and architect who has deep experience in enterprise data architecture, information management, data governance, data warehousing, and analytics technologies to provide us with tactical and strategic direction in the areas of standardization, governance, data quality, data strategy, lifecycle management, and business intelligence analytics. This will apply across platforms, products and geographical areas.
The Data Architect will develop a detailed knowledge of company data and data products and become a subject matter expert on content, current and potential future uses of data, and the quality and interrelationship between core elements of the data repositories and data products.
The Data Architect will play a key role in maturing corporate practices in the areas of lifecycle management, data quality, governance, and metadata management.
The Data Architect will consult with the staffs from information technology, data analytics, product creation and development to manage POCs, and create white papers, architectural documents, presentations, scripts, queries, and test databases as needed to support tooling, new product development, and overall maturing of the Data Architecture and Data Management capabilities.
This individual will possess a combination of business knowledge, technical skills, and people skills to define and guide data strategy.
The individual will also have physical database experience to the extent that he/she can evaluate new application requirements against the available platform options, and drive the discussion on appropriate platforming.
Performs a key management and thought leadership role in the areas of data modeling and standards, data quality, data integration, data visualization, lifecycle management, text mining, data discovery, analytics, database design and implementation--all in an Agile context.
Works with the Enterprise Data Architect to define and drive the data strategy roadmap for the Enterprise and identify new product opportunities.
Setting the overall vision, helping define the maturity model for data, building frameworks for domains such as data quality or ILM, gathering requirements, gaining business consensus, performing vendor and product evaluations for new data-oriented tools, mentoring business and development resources, training and documentation.
Helps drive the creation of the Enterprise Models and Governance practices.
Participation in ongoing decisions concerning data collection, design, tiering, retention, and data quality analyses.
Establishing of standards, best practices, and guidelines for the design, development, tuning, deployment and maintenance of information, advanced data analytics, and physical data persistence/virtualization technologies.
Does data modeling as needed during heavy demand periods, or to provide an initial footprint for new information models.
Participates in business Intelligence projects by identifying/providing the appropriate data, and working with the analytics group to ensure implementation using both Agile and Waterfall methods.
Draws conclusions and effectively communicates findings with both technical and business team members, providing active leadership skills across project team and business community.
Provides oversight for the efforts of Data Analysts/Modelers.
Required Skills and Experience
Minimum 10 years of experience in IT working on mid-to-large-scale software delivery based projects.
5 years in a Data Architect role providing information architecture services to an IT shop.
Technical expertise with several of the following----data models, database design, data quality, analytics, ILM, data standards, and physical design techniques.
Familiarity with 1-2 data modelling tools. ER/Studio a big plus.
Expert level knowledge of SQL querying language.
Ability to translate broader business initiatives into clear team objectives and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action.
Experience working with an Enterprise Logical or Analytic Data Warehouse implementation.
Experience with multiple market leading relational database platforms: Oracle, DB2, SQL Server.
Some experience with NoSQL database solutions such as Hadoop Hive, Hbase, Mongo, CouchDB, Cassandra.
Good understanding of database theory.
Experience with data warehouse modeling including cubes, rollups, snowflake/star schemas.
Experience implementing Data Management practices such as standardization, data quality, ILM, data inventory, data lineage, data classification/categorization, business glossary development, and metadata management.
Great presentation and communication skills, and ability to communicate with multiple audiences (business, technical, legal).
Experience conducting POCs of new technology, and providing thought leadership at the highest levels.
A solid understanding of key BI trends.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Experience with real time data processing in high volume transactional environment.
Domain experience: Healthcare
Experience using ER-Studio modeling tool, experienced in model compare and model migration, repository processing, database generation, reverse engineering existing databases, compare and merge functions.
Experience using ER-Studio Macros.
Experience with Master Data Management tools such as IBM or Talend.
Experience with CDC (real-time replication).
Experience with unstructured and semi-structured data.
Knowledge of statistics and experience using statistical packages for analyzing large datasets (R, Excel, SPSS, SAS).
Management experience with direct or dotted line reports.
If interested, please email firstname.lastname@example.org for more information. Kindly forward to any other interested partiesthank you!
CTG (NASDAQ: CTG) provides industry-specific IT services and solutions that address the business needs and challenges of clients in high-growth industries in North America and Western Europe. CTG also provides strategic staffing services for major technology companies and large corporations. Backed by more than 50 years of experience and proprietary methodologies, CTG has a proven track record of reliably delivering high-value, industry-specific staffing services and solutions to its clients. CTG has operations in North America, Western Europe, and India.
CTG's greatest asset is its people, and as such, we are committed to providing employees programs and processes to support their performance, hone their skills, and advance in their careers. This commitment is reflected by CTG being named a Best Places to Work in Healthcare company by Modern Healthcare (2013-2016) in North America, and a Best Workplace in the United Kingdom (2013), Belgium (since 2007), and Luxembourg (since 2011).
CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws.
CTG is an Equal Opportunity/Affirmative Action Employer and strong advocate of workforce diversity. Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran.