Tala

Dataiku architect

New York, New York, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
YesVisa
Consulting, Biotechnology, Financial ServicesIndustries

Requirements

Candidates should possess 5+ years of experience in data architecture, engineering, or related roles, with proven experience as a Data Architect in enterprise environments, ideally in financial services. Strong proficiency in Dataiku (DSS) is required, including experience designing production-grade data pipelines and workflows. A solid understanding of ETL/ELT, data modeling, and SQL is necessary, along with hands-on expertise in the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.). Strong knowledge of Python and SQL scripting, experience with API integrations, and the ability to evaluate multiple implementation approaches are also essential. Preferred qualifications include previous experience in a financial institution, Dataiku certification or advanced expertise in automation, APIs, and deployment, and familiarity with Snowflake or Databricks.

Responsibilities

The Data Architect will collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions. They will lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku. The role involves providing strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku, ensuring solutions align with enterprise data governance, security, and compliance standards. The Data Architect will also act as a technical advisor to the Data Management team, contributing to solution design and delivery, and documenting architectural decisions to promote knowledge sharing across the team.

Skills

Dataiku
Data Architecture
Data Engineering
Data Pipelines
ETL
ELT
Workflow Orchestration
Platform Integration
Data Wrangling
Data Governance
Data Security
Compliance

Tala

Digital wallet and lending platform for underserved

About Tala

Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.

Santa Monica, CaliforniaHeadquarters
2011Year Founded
$341.1MTotal Funding
DEBTCompany Stage
Fintech, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Remote Work Options
Flexible Work Hours
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance

Risks

Increased competition from Stripe in crypto payments could challenge Tala's market position.
Keytom's launch may attract Tala's crypto-interested customer base, reducing market share.
Apple's NFC chip decision could lead to more competition in the digital wallet space.

Differentiation

Tala uses AI to offer personalized financial experiences to underserved individuals.
The company provides instant credit and expansive bill payment options via a single app.
Tala's proprietary data tools enable services for those without traditional banking access.

Upsides

Integration of stablecoin payments could enhance Tala's transaction speed and cost-effectiveness.
Apple's NFC chip opening may allow Tala to offer more seamless payment options.
Equifax's AI advancements highlight potential for Tala to improve its credit scoring systems.

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