Data Architect/Data Modeler

Hexaware Technologies
Philadelphia, PA, United States
$150K-$160K a year
Full-time
We are sorry. The job offer you are looking for is no longer available.

What Working at Hexaware offers :

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide.

We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware’s commitment towards creating smiles.

At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future.

We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers.

We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

The Hexaware Advantage : Your Workplace Benefits

  • Excellent Health benefits with low-cost employee premium.
  • Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage
  • Unlimited training and upskilling opportunities through Udemy and Hexavarsity

Role : Data Architect / Data Modeler

Location : Philadelphia, PY

Work Mode : Hybrid

Salary Range : $150K - $160K

  • 10+ years of experience delivering data and data analytics solutions
  • 10+ years of experience with OLTP and OLAP database models
  • Azure expertise in end to end (application data base design + ETL / pipeline + Visualization Reporting)

leveraging Azure technologies such as Azure Data Factory (ADF), Azure Synapse, Azure Purview,

MS Power BI, Azure DevOps (ADO) etc. is a MUST HAVE

  • Must be knowledgeable in software development lifecycles / methodologies i.e., agile
  • Data storytelling : Communicate actionable insights using data, often for a non-technical audience.
  • Business intuition : Connect with stakeholders to gain a full understanding of the problems they are looking to solve.
  • Analytical thinking. Find analytical solutions to abstract business issues.
  • Critical thinking : Apply objective analysis of facts before concluding.
  • Interpersonal skills : Communicate across a diverse audience across all levels of an organization.
  • Has strong presentation and collaboration skills and can communicate all aspects of the job requirements,

including the creation of formal documentation

  • Strong problem solving, time management and organizational skills
  • Database Technology : SQL Server, Azure Synapse
  • ETL Technology : SSIS, DataStage, Talend, CRON scripting, Perl
  • Good to haveCloud SaaS : Talend, Fivetran, HVR, etc.
  • Good Understanding in Data Engineering tools, data ops tools in On-prem and Cloud eco system.
  • Good to have Azure Certifications
  • Understands 3rd party or industry standard file formats (EDI, HL7, NCPDP, etc.)

Responsibilities :

Responsible for developing effective data architecture solutions (Conceptual, Logical, Physical) that

not only satisfy immediate project requirements but also deliver a coherent, reusable, reliable,

and phased architecture to help the business grow and change, while developing a long-term data utilization plan

for the company's IT systems and helps architectures through phasing and cost-benefit analysis

Demonstrate knowledge of cloud architecture and implementation features

OS, multi-tenancy, virtualization, orchestration, scalability)

Act as a Subject Matter Expert to the organization for cloud / On-prem end-to-end architecture,

should have basic conceptual knowledge of all Cloud platforms like, Azure and future providers,

networking, provisioning, and management

Communicate and provide thought leadership in Data strategy, technologies, engineering to business and

IT leadership teams and stakeholders.

Providing a vital function bridging the gap between business and technology. In partnership

with Product Owner(s), Stakeholders and other Subject Matter Experts, and work with technologies such as Cloud

data warehousing, Data lakes, Analytical platforms and solutions. Should be able to define modern data eco system,

considering current and futuristic data needs

Provide advice on technical aspects of development and integration, including the operational and

maintenance aspects of systems under development, and proposed system recovery procedures.

Recommend and ensure that relevant technical strategies, policies, standards, practices, data standards,

guidelines, and procedures for design and maintenance are applied correctly

Support the clients’ enterprise team to respond positively to proposed data initiatives, arising from the

Information Governance Group, and provide the necessary support and expertise to deliver such initiatives

Provide ongoing support and implementation of change for hydration of data from existing / current systems

to future data model

Apply enterprise data management practices and principles in ways of working and create optimized,

reusable semantic model, complete with metadata and lineage information.

  • Identify data quality issues through data profiling, analysis and stakeholder engagement
  • Analyze data to provide insights for internal and external stakeholders on improving the performance
  • Considers volume, velocity, variety, veracity, performance, exception handling and other factors in the

data pipeline

Privacy Statement :

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You should be aware that we may share your details with our approved vendors for this event to be handled successfully.

30+ days ago
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