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, BiotechnologyIndustries

Requirements

Candidates should have 5+ years of experience in data architecture, engineering, or related roles. A solid understanding of ETL/ELT, data modeling, and SQL/NoSQL systems is required, along with familiarity with cloud platforms (AWS, Azure, GCP) and big data tools like Spark or Hadoop. Experience with Python, SQL scripting, API integrations, and the ability to evaluate and recommend optimal implementation paths are essential. Strong communication skills and the capacity to mentor peers constructively are also necessary. Preferred qualifications include experience in financial institutions, Dataiku certification or advanced expertise, data migration/modernization project experience, and knowledge of platforms like Snowflake, Azure, or Hadoop.

Responsibilities

The Dataiku Architect will design, develop, and implement data pipelines and workflows in Dataiku for data ingestion, transformation, and processing. They will define and maintain data architecture standards, best practices, and governance policies. The role involves collaborating with cross-functional teams to translate business requirements into technical solutions, ensuring data quality, integrity, and security. Responsibilities also include optimizing data pipelines for scalability, performance, and cost-effectiveness, supporting data migration and integration from multiple sources, and providing technical leadership and mentoring to junior data team members.

Skills

Dataiku
Data Architecture
Data Pipelines
ETL
ELT
Data Modeling
SQL
NoSQL
AWS
Azure
GCP
Data Ingestion
Data Transformation
Data Processing
Data Governance
Data Quality
Data Security
Cloud Platforms

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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