Data Engineer Lead- 3556830

Job Title: Data Engineer Lead

Location: Palo Alto, CA 94304

Salary/Payrate: $170K-$180K, 14% bonus and AWESOME benefits!!!

Work Environment: Hybrid (3 days WFH after ramp up)

Term: Permanent / Fulltime

Bachelor’s degree required: Yes

Referral Fee: $1,000 – should your referral start with our client

JOB DESCRIPTION

Candidates must be US Citizens or Green Card holders and locally
based in San Francisco or Palo Alto to be considered.

Our client currently seeking a Data Engineer to join the Finance
Technology and Digital Transformation team in our Finance
Department. This role will support the rapid growth of FinTech
across many departments at the firm. This position is available
for a hybrid work schedule (two days per week onsite).

Essential Duties and Responsibilities:

* Adapt and optimize firm-standard ETL/ELT data pipelines to
ensure accurate and timely data integration to and from firm data
repositories.
* Manage finance-related data models, schemas, and structures to
support analytics and reporting needs.
* Translate complex business requirements into intuitive and
actionable reports.
* Partner with business stakeholders to define KPIs and ensure
consistent reporting standards.
* Integrate firm-level information security policies and
processes to ensure data accuracy, integrity, and security.
* Monitor and troubleshoot data workflows, ensuring performance
optimization.
* Support firm data governance practices and DLP policies,
including data classification, access controls, documentation and
change management procedures. Work closely with business
analysts, data scientists, and IT teams to ensure compliance,
mitigate risk and deliver full-cycle data solutions.
* Mentor junior data specialists, analysts, and other engineers,
and contribute to the firm’s best practices and technical
standards.
* Be a key contributor and resource to the firm’s overall data
strategy and architecture, including the development of best
practices and procedures for developing and providing reports,
dashboards and other data services throughout the firm.

Education and Work Experience Requirements:

* Bachelor’s or master’s degree in computer science, Information
Systems, Data Engineering, or related field.
* 8+ years of hands-on experience in data warehouse development
and optimization, ETL/ELT development, and SSRS reporting
solutions.
* Strong expertise in SQL (query optimization, stored procedures,
indexing).
* Proficiency with Azure data lake/warehouse technologies (Azure
Synapse, Azure Databricks, Microsoft Fabric, etc.).
* Experience with ETL tools (Informatica, Talend, SSIS, dbt, or
similar).
* Solid understanding of data modeling (star schema, snowflake
schema, OLAP/OLTP concepts).
* Knowledge of cloud platforms (Azure) and modern data stack
tools.
* Strong problem-solving, analytical, and communication skills.