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Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Strong Podcast & Video Script writing Profile

Mandatory (Experience 1) – Must have 2+ YOE in creative scripting and narrative design for Podcasts

Mandatory (Experience 2) - Must have strong exposure to Finance industry, and should be able to simplify complex Financial subjects into engaging story-based scripts

Mandatory (Skills) – Must have hands-on expertise with AI/GenAI tools (e.g., Wondercraft, Heygen, NotebookLM, ElevenLabs) for content creation, prompting, and production at scale.

Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.

Strong Behavioral Data Analyst Profiles

Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys

Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase

Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.

Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.

Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams

Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)

Mandatory (Note): Don't want data analysis but business/product/user analysts

Preferred

Preferred (Skills): Ability to create insightful dashboards and reports highlighting user engagement metrics, sentiment trends, and improvement opportunities

Responsibilities: 
Developing and maintaining all server-side network components. 
Ensuring optimal performance of the central database and responsiveness to front-end requests. 

Collaborating with front-end developers on the integration of elements. 

Designing back-end services for various business processes.ses. 

Developing high-performance applications by writing testable, reusable, and efficient code. 

Implementing effective security protocols, data protection measures, and storage solutions. 

Running diagnostic tests, repairing defects, and providing technical support. 

Documenting Node.js processes, including database schemas, as well as preparing reports. 

Recommending and implementing improvements to processes and technologies. 

Keeping informed of advancements in the field of Node.js development. 

Skills: 

Bachelor's degree in computer science, information science, or similar. 

At least two years' experience as a Node.js developer. 

Extensive knowledge of JavaScript, web stacks, libraries, and frameworks. 

Knowledge of front-end technologies such as HTML5 and CSS3. 

Superb interpersonal, communication, and collaboration skills. 

Exceptional analytical and problem-solving aptitude. 

Great organizational and time management skills. 

Availability to resolve urgent web application issues outside of business hours. 

Job Title: Front-End (Angular) Developer

Required Experience: 3-6 Years

Key Skills: Angular6+, HTML, CSS, jQuery, JavaScript, Typescript, Charting

Positions: 3

Compensation - As per industry standards.

Joining - Immediate joining/15 days notice/30 days notice

Position Type: Full Time

Job Summary

Looking for well experienced (4-6 yrs.), Angular6+ developers with knowledge of HTML5, CSS2, JavaScript, TypeScript, JQuery for responsive UI development and writing cross-browser compatible code who is comfortable writing custom JavaScript but also know when to apply off-the-shelf solutions for the problem. However the ability to adapt with changing technology is an important strength.

Key Skills

• Strong experience in HTML5, CSS2, JavaScript, Typescript, JQuery for responsive UI development and writing cross-browser compatible code.
• Primary Skills – Angular6+, HTML, CSS3, modern JavaScript MV-VM/MVC , NodeJS
• Expert in any one of the Good understanding of E2E Internet application architecture including browser concepts, HTTP, REST and Security best practices.
• Good understanding of AJAX and JavaScript Dom manipulation Techniques
• Good to have knowledge on Media query bootstrap framework for UI development
• Capability to implement complex Angular applications, directives, controllers, and services.
• Experience in consuming Restful web services
• Strong unit test and debugging skills
• Excellent time-management, multi-tasking. Capable of handling multiple projects and related complexities at the same time.
• Knowledge of Mongo, MySql will be advantage.
• Proficient understanding version control (github, Gitea, sourcetree)
• Knowledge of charting libraries like Highcharts, d3.js, c3.js, dc.js and data Visualization huge plus.

Responsibilities

• Designing and developing user interfaces using with front-end technologies (like Angular 7+, JavaScript, HTML5 and CSS)
• Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features
• Implementing complex AngularJS applications, directives, controllers, services and other modern internet applications
• Continuous integration, software deployment, and hosting technologies
• Test and debug programs, collaborate with QA teams for effective solutions
• Improve functionality of existing systems
• Implementation of security and data protection
• Responsible for successful completion of code deliverables within projects
  Involved in the various phases of the SDLC

Qualification

• BE / B.tech - IT, Computer Science, M.Sc - IT, MCA.
• Good https://www.roberthalf.com.au/career-advice/career-development/communication-skills">communication skills – both written and verbal

• Sound knowledge in Angular6+, HTML5, CSS2, JavaScript, TypeScript, JQuery, etc.

Company Description:

Reval Analytical Services is a fully-owned subsidiary of Virtua Research Inc. US. It is a financial services technology company focused on consensus analytics, peer analytics and Web-enabled information delivery. The Company’s unique combination of investment research experience, modeling expertise, and software development capabilities enables it to provide industry-leading financial research tools and services for investors, analysts, and corporate management.