Data Architect

Job Title: Data Architect

Job Location: Quincy MA 02169

Onsite Requirements:

• SQL Database


• Must have Banking Experience


• functional and technical documentation for data provisioning pipelines

Job Description:

• Data architects are responsible for the design, structure, and maintenance of data, usually organized in a relational database. A data architect ensures the accuracy and accessibility of data relevant to an organization or a project. The management and organization of data is highly technical and requires advanced skills with computers and proficiency with data-oriented computer languages such as SQL and XML. A successful data architect must possess superior analytical skills and be detail-oriented. Data architects require the ability to communicate effectively, as they typically are part of a larger team within an information technology department. Additionally, a data architect likely needs to explain complex technical concepts to non-technical staff. Since development of data models and logical workflows is common, a data architect must also exhibit advanced visualization skills, as well as creative problem-solving.

Responsibilities:

• Creating functional and technical documentation for data provisioning pipelines (Source to target mappings, Data environment diagrams, etc..)


• Collaborating with cross-functional teams to understand business requirements and provide data-driven solutions.


• Conducting ad-hoc analysis and deep dives into specific financial areas or projects.


• Collecting, organizing, and analyzing financial data from various sources.


• Required to have good knowledge of databases, data models, and data systems for financial analysis.


• Ensuring data accuracy, integrity, and security in financial databases and systems.


• Recommending process improvements and automation opportunities to enhance data analysis efficiency.

Qualifications:

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related field.


• Strong knowledge of financial concepts, accounting principles, and financial markets, specially in Retail Banking


• Proficiency in SQL for data extraction, manipulation, and analysis.


• Experience with data visualization tools such as Tableau, Power BI, or Excel


• Familiarity with statistical analysis techniques and tools.


• Strong analytical and problem-solving skills.


• Attention to detail and ability to work with large datasets.


• Excellent communication and presentation skills.


• Ability to work independently and collaborate effectively in a team environment.


• Knowledge of programming languages such as Python or R is a plus.

Requirement:

• 5+ years of experience


• Must have experience creating functional and technical documentation for data provisioning pipelines (i.e. Source to target mappings, Data environment diagrams, etc..)


• Experience doing Source to Target Mappings, Basic understanding of data modeling and ETL


• Intermediate knowledge of Banking/ Financial Products


• Data analysis, Intermediate level, Ability to analyze data using common DA tooling (SQL or Python)

Nice to haves:

• Bilingual Spanish proficiency


• Proficiency in SQL for data extraction, manipulation, and analysis.


• Experience with data visualization tools such as Tableau, Power BI, or Excel.


• Familiarity with statistical analysis techniques and tools.


• Knowledge of programming languages such as Python or R is a plus.

• **This role is NOT open to C2C Companies, 3rd Party Suppliers for candidates or referrals for a fee. All candidates must work on our W2.

Per the client, this role is NOT open to GC-EAD, , H1-B, OPT, F1.

• 3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply.


• This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future**