We’re seeking a Senior Data Architect to lead the design and implementation of modern and scalable enterprise data solutions for clients in the financial services industry.

This role combines deep expertise in Financial Systems, Salesforce solutions, and modern data architectures (Data Lakes, Lakehouses, and Data Mesh) with the ability to guide technical teams and influence client strategy.

The ideal candidate thrives at the intersection of architecture, integration, and delivery, and excels in building client relationships via defining and directing data strategies that align with the client’s business objectives. Primary

Responsibilities:

Enterprise Data Architecture ModernizationArchitect scalable Data Lake, Lakehouse, and Data Mesh solutions using Azure, AWS, Snowflake, Databricks, and related platforms. Define enterprise data models using dimensional modeling, 3NF, Kimball, Data Vault methodologies.

Assess legacy core banking systems and design modernization strategies aligned to target-state architecture. Establish scalable architectural patterns that support analytics, reporting, AI/ML, and distributed data products. Data Engineering IntegrationDesign scalable batch, streaming, API-based, and CDC-driven data pipelines. Lead ETL/ELT architecture and optimization using modern orchestration and transformation frameworks (e. g. , PySpark, SQL, Scala, Delta Lake). Ensure integration readiness, performance optimization, and long-term sustainability of data platforms. Governance, Security ObservabilityDefine and contribute to enterprise data governance frameworks including MDM, metadata management, lineage, and data quality standards. Design role-based access control, encryption, and regulatory compliance solutions (e. g. , banking regulations, GDPR, HIPAA).

Incorporate data observability practices including monitoring, logging, and alerting to ensure reliability and quality. Data Product Operating Model LeadershipDefine and align domain-oriented data product operating models across key business domains. Partner with Data Product Owners and business stakeholders to align

requirements

, priorities, and value realization. Establish scalable processes that accelerate data product development while maintaining governance and quality standards. Client Delivery LeadershipServe as architectural lead in client-facing engagements, articulating strategy and technical value. Collaborate with sales and delivery teams to scope solutions and define engagement approaches. Mentor technical teams and promote best practices in architecture, engineering, and deployment. Monitor progress during project execution, identifying risks and ensuring alignment with architectural principles and client objectives. Required

Qualifications

5+ years designing and delivering enterprise-scale data solutions in cloud environments (Azure, AWS, or GCP). Proven experience architecting modern data platforms using Databricks, Snowflake, Synapse, or Microsoft Fabric, and tools like Talend, Informatica, and SSIS. Strong expertise in data modeling (Dimensional, 3NF, Data Vault) and enterprise integration design. Hands-on experience building and optimizing ETL/ELT pipelines using PySpark, SQL, Scala, or similar technologies. Experience implementing governance, security, and compliance controls in regulated industries (financial services preferred). Strong background in database development (SQL, T-SQL, PL/SQL, etc. ) and scripting (Python, TypeScript, etc). Experience leading technical teams in client-facing consulting engagements. Ability to collaborate effectively with technical and non-technical stakeholders, to ensure understanding of the desired outcome is shared and met. Remote position with up to 30% travel based on client needs. Preferred

Qualifications

Hands-on experience with Salesforce FSC data architecture and financial services data models. Certifications or hands-on experience with Databricks, Snowflake and/or Salesforce. Experience designing AI/ML data pipelines or supporting advanced analytics use cases. Familiarity with Salesforce data migrations and multi-system integrations. Prior experience in Agile environments or delivery leadership roles. Qualities of the Ideal CandidateThrives in a team-based, high energy and fast-paced environmentService-oriented with a strong commitment to client success and delivery excellence. Passionate about emerging technologies and continuous learning. Analytical and able to logically and methodically work through problemsStrong aptitude for prioritization and multitasking in a deadline-driven environmentDemonstrates the following leadership skills: Setting clear expectations and deadlines for project team members Assigning and directing the work of project team members Coaching and mentoring team members Monitoring progress and escalating risks, along with mitigation plans, when necessaryThe full compensation package is based on candidate's experience and certifications. Zennify pay range $160,000—$190,000 USDRooted in care. Built for what’s next. At Zennify, you help people in regulated industries solve real problems at the intersection of data, AI, and customer experience.

You will work across Salesforce, nCino, MuleSoft, Twilio, and Databricks, and you will deliver outcomes that hold up in production.

You will join smart, kind, collaborative people who move with urgency and lead with care.

We challenge each other, we support each other, and we keep expectations clear. Diverse perspectives make us better partners and better teammates, so we build teams where everyone can do their best work and feel like they belong.

How we workFully remote, designed for flexibility, focus, and balancePaid training and certifications to support your growthUnlimited PTO so you can take the time you need

Benefits

that support real life.

We offer strong medical, dental, vision, and life insurance

benefits

, plus mental health support.

You will also have pet insurance, pawternity and pawreavement leave, and other programs that meet you where you are. Belonging and equity matter here.

We are committed to an inclusive and equitable workplace with equal opportunity, fair pay practices, and respect for every background and identity. Come for the mission. Stay for the people. Pay Transparency.

We believe that pay transparency helps to foster trust and open communication between employers and employees.

It allows our team members to have a clear understanding of their earning potential and the expectations associated with their roles.

We also believe that pay transparency promotes fairness, as everyone is compensated based on their experience and skills, regardless of factors such as gender, race, or ethnicity.

We recognize that the skills and experience of our candidates may vary, and we are committed to compensating them accordingly.

As such, we will evaluate each candidate's

qualifications

, experience, and performance to determine the appropriate compensation within the stated

salary range
.

We hope that this transparent approach to compensation will provide our potential candidates with the information they need to make informed decisions about their career paths. About Zennify. Zennify is a data engineering and customer experience consultancy built for industries where trust and precision matter, including financial services, healthcare, and utilities.

We deliver strategy, implementation, and managed services with warmth, speed, and reliability.

We have delivered 600+ Salesforce projects and 200+ data projects, with a

4. 9/5 CSAT.

Our team holds 750+ certifications, and we continue to grow our data and AI work

as our

fastest-expanding area. While our roots are in Salesforce, today we help clients build modern foundations that connect data, systems, and experiences, so teams can move faster, serve better, and scale with confidence. Zennify is privately owned and backed by Tercera and Salesforce Ventures.

We invest in our people, our partnerships, and our purpose. EEO Posting Statement.

It is the policy of Zennify to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information, or any other protected characteristic under applicable law.

This policy relates to all phases of employment, including , but not limited to, recruiting, employment, placement, promotion, transfer, demotion, reduction of workforce and termination, rates of pay or other forms of compensation, selection for training, the use of all facilities, and participation in all company-sponsored employee activities. Provisions in applicable laws providing for bona fide occupational

qualifications

, business necessity, or age limitations will be adhered to by the company where appropriate.